DiscoverSiraj Raval
Siraj Raval
Author: Siraj Raval
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I'm Siraj. I'm on a warpath to inspire and educate developers to build Artificial Intelligence. Games, music, chatbots, art, i'll teach you how to make it all yourself.
We are the fastest growing AI community in the world.
Our mission: Solve AI. Use it to benefit humanity.
I've been called
Bill Nye of Computer Science
Kanye of Code
Beyonce of Neural Networks
Osain Bolt of Learning
Chuck Norris of Python
Jesus Christ of Machine Learning
but it's the other way. They are the Siraj Raval of X
I do this alone. All content was by me. And the writing will always be my own, I will never delegate that. Every word I speak comes from my soul. It's real.
Follow me on Twitter and Facebook!
Twitter: http://www.twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology/?fref=ts
If you found my videos useful, I'd love your support on Patreon :) https://www.patreon.com/user?ty=h&u=3191693
In the event of my demise, you must finish what I've started here.
Thanks for watching!
We are the fastest growing AI community in the world.
Our mission: Solve AI. Use it to benefit humanity.
I've been called
Bill Nye of Computer Science
Kanye of Code
Beyonce of Neural Networks
Osain Bolt of Learning
Chuck Norris of Python
Jesus Christ of Machine Learning
but it's the other way. They are the Siraj Raval of X
I do this alone. All content was by me. And the writing will always be my own, I will never delegate that. Every word I speak comes from my soul. It's real.
Follow me on Twitter and Facebook!
Twitter: http://www.twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology/?fref=ts
If you found my videos useful, I'd love your support on Patreon :) https://www.patreon.com/user?ty=h&u=3191693
In the event of my demise, you must finish what I've started here.
Thanks for watching!
352 Episodes
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I've built an app called VectorFunnel that automatically scores leads for marketing & sales teams! I used React for the frontend, Node.js for the backend, PostgreSQL for the database, and Tensorflow.js for scoring each lead in an excel spreadsheet. There are a host of other tools that I used like ClearBit's data API and various Javascript frameworks. If you have no idea what any of that is, that's ok I'll show you! In this video, I'll explain how I built the app so that you can understand how all these parts fit together. The learning goal here is to give you enough of an idea of how these tools work to be able to formulate a plan for your own marketing startup MVP (minimum viable product). Enjoy!
Code for this video:
https://github.com/llSourcell/Watch_Me_Build_a_Marketing_Startup
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
I also have an ongoing challenge for any Wizard brave enough to start their own startup. See details + rewards here:
https://github.com/llSourcell/Build-an-AI-Startup-with-PyTorch/blob/master/README.md
Make Money with Tensorflow 2.0:
https://youtu.be/WS9Nckd2kq0
How to Make Money with Tensorflow:
https://www.youtube.com/watch?v=HhqhFbwiaig
7 Ways to Make Money with Machine Learning:
https://www.youtube.com/watch?v=mrRfpiAwad0&t=2s
Watch me Build an AI Startup:
https://www.youtube.com/watch?v=NzmoPqte4V4&t=1823s
Intro to Tensorflow:
https://www.youtube.com/watch?v=2FmcHiLCwTU&list=PL2-dafEMk2A7EEME489DsI468AB0wQsMV
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Join us at the School of AI:
https://theschool.ai/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
What does the field of Artificial Intelligence look like in 2040? It's a really hard question to answer since there are still so many unanswered questions about the nature of reality and computing. In this episode, I'll make my best predictions about AI hardware, AI software, and the societal impact of AI in 2040. We'll cover quantum mechanics, neuromorphic computing, DNA storage, decentralized computing, basic income, and mind-body machines. Enjoy!
Code for this video:
https://github.com/llSourcell/quantum_machine_learning_LIVE/blob/master/Demo.ipynb
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More learning resources:
https://www.youtube.com/watch?v=HhXg6568I3E&t=5s
https://www.youtube.com/watch?v=5YxzWnbqaJI
https://www.youtube.com/watch?v=WTnxE0wjZaM&t=2s
https://www.youtube.com/watch?v=vrdVlMqK5vc
https://www.youtube.com/watch?v=e_BOJS1BLj8&t=943s
https://www.youtube.com/watch?v=DmzWsvb-Un4
https://www.youtube.com/watch?v=bSw-wcB6GZw&t=1s
https://www.youtube.com/watch?v=LhtnECml-KI
https://www.youtube.com/watch?v=AAO4oq2M_48
https://www.youtube.com/watch?v=Ewf_gBWBH2A
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Join us at the School of AI:
https://theschool.ai/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
I've built an app called NeuralFund that uses Tensorflow 2.0 to make automated investment decisions. I used Tensorflow 2.0 to train a transformer network on time series data that i downloaded using the Yahoo Finance API. Then, I used Tensorflow Serving + Flask to create a simple web app around it. I'll explain what the important parts you should know in Tensorflow 2.0 are, then I'll guide you through my code & thought process of building an AI startup using it. Enjoy!
Code for this video:
https://github.com/llSourcell/Make_Money_with_Tensorflow_2.0
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
How to Make Money with Tensorflow:
https://www.youtube.com/watch?v=HhqhFbwiaig
7 Ways to Make Money with Machine Learning:
https://www.youtube.com/watch?v=mrRfpiAwad0&t=2s
Watch me Build an AI Startup:
https://www.youtube.com/watch?v=NzmoPqte4V4&t=1823s
Intro to Tensorflow:
https://www.youtube.com/watch?v=2FmcHiLCwTU&list=PL2-dafEMk2A7EEME489DsI468AB0wQsMV
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Join us at the School of AI:
https://theschool.ai/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
I've built an automated therapist app called MindRelaxr using PyTorch and a host of other tools (Dialogflow, Tensorflow Lite, Firebase, ONNX, Paypal, and Android Studio). I'm going to show you how I integrated these tools together to build a paid service that uses AI generated Cognitive Behavioral Therapy techniques to help people reduce their depression and anxiety. This app uses a sentiment analysis model trained in PyTorch as well as Google's cloud natural language processing service 'dialogflow' to provide low cost therapy. Enjoy!
Code for this video (includes the #AIStartupChallenge details):
https://github.com/llSourcell/Build-an-AI-Startup-with-PyTorch
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
7 Ways to Make Money with Machine Learning:
https://www.youtube.com/watch?v=mrRfpiAwad0&t=1s
Start an AI Startup:
https://www.youtube.com/watch?v=NzmoPqte4V4&t=1820s
Write a Research Paper:
https://www.youtube.com/watch?v=S47RIVkr978&t=2s
How to Teach AI:
https://www.youtube.com/watch?v=tczjZOLVjJM
Interview Preparation:
https://www.youtube.com/watch?v=5KB5KAak6tM&t=1s
https://www.youtube.com/watch?v=OHhoLhYW2cg&t=9s
https://www.youtube.com/watch?v=nMK94JlKRb4&t=2s
Programming Competitions:
https://www.youtube.com/watch?v=TffGdSsWKlA
Automated Trading:
https://www.youtube.com/watch?v=F2f98pNj99k&t=6s
https://www.youtube.com/watch?v=ftMq5ps503w&t=6s
https://www.youtube.com/watch?v=05NqKJ0v7EE&t=2s
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Join us at the School of AI:
https://theschool.ai/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Algorithms govern so much of our lives and dating is no exception! In this video, I frame dating as a data science pipeline and demo how to use AI algorithms to help facilitate discovery, first impressions, and even intimacy. I'll also explain how collaborative filtering and text generation are being used today to match people together with code examples. I hope this gives you a deeper insight into the role technology is currently playing in human relationships. Enjoy!
Code for this video:
https://github.com/llSourcell/AI_for_Dating
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More Learning resources:
https://www.youtube.com/watch?v=XdM6ER7zTLk&t=774s
https://www.youtube.com/watch?v=9gBC9R-msAk
http://www.cs.cmu.edu/~ribeiro/pdf/Tu_Ribeiro_Towsley_TR2014.pdf
http://web.cs.ucla.edu/~yzsun/papers/snam2016.pdf
https://aimm.online/
https://mashable.com/article/future-online-dating/#ua2Paxq2eZqp
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Join us at the School of AI:
https://theschool.ai/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
I'm going to build a medical imaging classification app called SmartMedScan! The potential customers for this app are medical professionals that need to scale and improve the accuracy of their diagnoses using AI. From ideation, to logo design, to integrating features like payments and AI into a single app, I'll show you my 10 step process. I hope that by seeing my thought process and getting familiar with the sequence of steps I'll demonstrate,, you too will be as inspired as I am to use this technology to do something great for the world. Enjoy!
Code for this video:
https://github.com/llSourcell/AI_Startup_Prototype
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More Learning resources:
https://www.youtube.com/watch?v=FTr3n7uBIuE
https://www.youtube.com/watch?v=9bbS-trc8ys&t=608s
https://www.youtube.com/watch?v=mrRfpiAwad0
https://www.youtube.com/watch?v=HhqhFbwiaig&t=563s
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Join us at the School of AI:
https://theschool.ai/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Natural Language Processing is a field of Artificial Intelligence dedicated to enabling computers to understand and communicate in human language. NLP is only a few decades old, but we've made significant progress in that time. I'll cover how its changed over the years, then show you how you can easily build an NLP app that can either classify or summarize text. This is incredibly powerful technology that anyone can freely use, I'll show you how to do it. Enjoy!
Code for this video:
https://github.com/llSourcell/bert-as-service
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More Learning resources:
https://www.youtube.com/watch?v=0n95f-eqZdw
http://mlexplained.com/2019/01/30/an-in-depth-tutorial-to-allennlp-from-basics-to-elmo-and-bert/
https://towardsdatascience.com/beyond-word-embeddings-part-2-word-vectors-nlp-modeling-from-bow-to-bert-4ebd4711d0ec
https://gluon-nlp.mxnet.io/examples/sentence_embedding/bert.html
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Join us at the School of AI:
https://theschool.ai/
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Nvidia is the inventor of the GPU! This tech company based in Silicon Valley has played a huge role in the deep learning revolution (which has relied primarily on GPUs for computing), and its transformed many industries. In this video, I interview Bryan Catanzaro, the Vice President of Applied Deep Learning Research at NVIDIA. Bryan got his PhD in AI from Berkeley, invented a language called Copperhead, and is an expert in parallel programming theory. Nvidia invited me to their annual conference, so I took the opportunity to ask Bryan 67 questions while walking through the halls. Enjoy!
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More Learning resources:
https://ctnzr.io/
https://developer.nvidia.com/deep-learning
https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3
https://www.youtube.com/watch?v=Cr6VqTRO1v0&t=342s
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Join us at the School of AI:
https://theschool.ai/
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Discrete Math is a subject everyone interested in Computer Science needs to understand. It consists of math branches like graph theory, set theory, number theory, & combinatorics. It helps create databases, algorithms, & security structures. In this video, I'll explain the most relevant topics in Discrete Math one by one as we try to decrypt the password for a SQL database. Along the way, we'll use discrete math in various ways. I wanted to see if I could summarize an important course I took in college in a single video. Enjoy!
Code for this video:
https://github.com/llSourcell/DiscreteMath
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Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
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More learning resources:
http://discrete.openmathbooks.org/home.php
https://cse.buffalo.edu/~rapaport/191/S09/whatisdiscmath.html
https://www.cs.odu.edu/~toida/nerzic/content/intro2discrete/intro2discrete.html
https://www.youtube.com/watch?v=YzfdL58virc
Join us at the School of AI:
https://theschool.ai/
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
I recently flew to Singapore to give a keynote on AI in healthcare and attend a panel discussion on the same topic hosted by School of AI and sponsored by Accenture. School of AI is a nonprofit with a goal of giving everyone on Earth a world-class AI education for free. This was a launch event for our first global hackathon called Health Hack that will be hosted in over 30 cities around the world by our Deans (community representatives). In this video, you'll learn about automated diagnostics, synthetic biology, drug discovery, and the ethical implications of AI. Enjoy!
Link to the hackathon (RSVP at the city closest to you if there is one):
https://www.theschool.ai/hackathon/
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
instagram: https://www.instagram.com/sirajraval
Facebook: https://www.facebook.com/sirajology
More learning resources:
https://www.youtube.com/watch?v=DCcmFXXAHf4&t=248s
https://www.youtube.com/watch?v=hY9Bc3mtphs&t=462s
https://rockhealth.com/reports/demystifying-ai-and-machine-learning-in-healthcare/
https://healthcare.ai/
https://www.nvidia.com/en-us/deep-learning-ai/industries/healthcare/
Join us at the School of AI:
https://theschool.ai/
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Unsupervised learning is the most exciting subfield of machine learning! Finding structure in unstructured data automatically sounds like a dream come true, no need to have a label! In this video, I'll demonstrate 2 types of unsupervised learning techniques; k means clustering and principal component analysis. We'll use these techniques on neural data from a patient suffering from seizures to see if we can locate the part of their brain in need of surgery to save their life. You'll laugh, you'll cry, but most importantly, you'll learn. Enjoy!
Code for this video:
https://github.com/llSourcell/spike_sorting
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
instagram: https://www.instagram.com/sirajraval
Facebook: https://www.facebook.com/sirajology
More learning resources:
https://blog.algorithmia.com/introduction-to-unsupervised-learning/
http://deeplearning.stanford.edu/tutorial/
https://towardsdatascience.com/unsupervised-learning-with-python-173c51dc7f03
https://medium.com/machine-learning-for-humans/unsupervised-learning-f45587588294
Join us at the School of AI:
https://theschool.ai/
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Is it possible to use machine learning without needing to code? The answer is yes! Uber's AI lab recently open sourced python library called Ludwig that they've been using internally for 2 years. The tagline is that it allows anyone to use deep learning without coding. It will require some configuration and unix commands to setup, but I'll show you how in this video. I'll also talk about other code-free tools like Azure ML Studio, DataRobot, and DeepCognition. Enjoy!
Code for this video:
https://github.com/llSourcell/ludwig
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
instagram: https://www.instagram.com/sirajraval
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More learning resources:
https://uber.github.io/ludwig/
https://azure.microsoft.com/en-us/services/machine-learning-studio/
https://www.datarobot.com/
https://deepcognition.ai/
Join us at the School of AI:
https://theschool.ai/
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
#MachineLearning #SirajRaval
The AI research lab DeepMind created an algorithm that beat a top professional StarCraft 2 player for the first time! This is a huge achievement since this is an incredibly complex game that requires long term planning, game theory, and cooperative play. Their algorithm used a mixture of techniques that in the field of deep reinforcement learning. I'll explain how each of these techniques works, and how they all work together in unison. This is an exciting time for the field. Enjoy!
Code for this video:
https://github.com/llSourcell/pysc2
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
instagram: https://www.instagram.com/sirajraval
Facebook: https://www.facebook.com/sirajology
More learning resources:
https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game-starcraft-ii/
https://www.vox.com/future-perfect/2019/1/24/18196177/ai-artificial-intelligence-google-deepmind-starcraft-game
https://medium.freecodecamp.org/an-intro-to-advantage-actor-critic-methods-lets-play-sonic-the-hedgehog-86d6240171d
http://www.dcsc.tudelft.nl/~bdeschutter/pub/rep/10_003.pdf
Join us at the School of AI:
https://theschool.ai/
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
OpenAI has the entire AI community debating its decision to not release the fully trained version of its powerful new text generator model dubbed GPT-2. I'm going to explain how GPT-2 works using code, math, and animations. We'll discuss its potential applications (both good and bad), ways of preventing misuse, and at the end of the video I'll give my take on whether OpenAI was justified in doing so. The transformer architecture is quickly replacing recurrent networks for sequence learning, and OpenAI's GPT-2 is the latest example of using it at scale. Enjoy!
Code for this video:
https://github.com/openai/gpt-2
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Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
instagram: https://www.instagram.com/sirajraval
Facebook: https://www.facebook.com/sirajology
More learning resources:
https://medium.com/@asierarranz/i-have-created-a-website-to-query-the-gpt-2-openai-model-11dd30e1c8b0
https://blog.openai.com/better-language-models/
http://jalammar.github.io/illustrated-transformer/
https://mchromiak.github.io/articles/2017/Sep/12/Transformer-Attention-is-all-you-need/#.XHVUts9KiLI
Web Demo of GPT-2:
https://www.askskynet.com/
Gradient Descent:
https://www.youtube.com/watch?v=XdM6ER7zTLk&t=774s
Fakebox:
https://machinebox.io/docs/fakebox
Privacy tools:
https://github.com/OpenMined/PySyft/tree/master/examples/tutorials
Join us at the School of AI:
https://theschool.ai/
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
Please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Data Science coding challenge time! The popular Data Science competition website Kaggle has an ongoing competition to solve the problem of earthquake prediction. Given a dataset of seismographic activity from a laboratory simulation, participants are asked to create a predictive model for earthquakes. In this video, I'll attempt the challenge as a way to teach 3 concepts; the Data Science mindset, Categorical Boosting, and Support Vector Regression models. I'll be coding this using python from start to finish in the online Google colab environment. Enjoy!
Code for this video:
https://github.com/llSourcell/Kaggle_Earthquake_challenge
Please Subscribe! And Like. And comment. Thats what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
instagram: https://www.instagram.com/sirajraval
Facebook: https://www.facebook.com/sirajology
Join us at the School of AI:
https://theschool.ai/
More learning resources:
https://www.kaggle.com/c/LANL-Earthquake-Prediction/data
https://www.analyticsvidhya.com/blog/2017/08/catboost-automated-categorical-data/
https://blog.griddynamics.com/xgboost-vs-catboost-vs-lightgbm-which-is-best-for-price-prediction/
https://towardsdatascience.com/catboost-vs-light-gbm-vs-xgboost-5f93620723db
https://accio.github.io/machinelearning/2018/05/30/catboost.html
http://kernelsvm.tripod.com/
https://www.saedsayad.com/support_vector_machine_reg.htm
https://medium.com/coinmonks/support-vector-regression-or-svr-8eb3acf6d0ff
https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html
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Everyone needs to understand regression! Its a useful data science technique that allows us to understand the relationship between different variables. In this video, we'll play the role of a newly hired data analyst at a genetics company trying to find the relationship between advertising mediums (TV, newspaper, radio) and ticket sales to our newly opened theme park. Along the way, we'll learn about 5 types of regression models (linear, non-linear, multiple, lasso, and ridge). Expect math, code, and layers of explanation. Enjoy!
Code for this video:
https://github.com/llSourcell/ISL-Ridge-Lasso
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More learning resources:
https://www.youtube.com/watch?v=XdM6ER7zTLk
https://www.analyticsvidhya.com/blog/2017/06/a-comprehensive-guide-for-linear-ridge-and-lasso-regression/
http://statisticsbyjim.com/regression/choose-linear-nonlinear-regression/
https://hbr.org/2015/11/a-refresher-on-regression-analysis
http://blog.minitab.com/blog/adventures-in-statistics-2/how-to-interpret-regression-analysis-results-p-values-and-coefficients
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There are so many different ways to visualize data! We're going to learn about the major types of visualizations (relationships, correlations, comparisons) as well as discuss some of the many powerful visualization tools that are available to us. Google Charts, Tableau, there are a lot! We'll break down the visualization process along many dimensions, revealing the subtleties that can make or break a chart. Using the plotly library. we'll visualize a Medium blog post dataset many different ways. Enjoy!
Code for this video:
https://github.com/llSourcell/Data_Visualization
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More learning resources:
https://medium.com/@Infogram/18-data-visualization-resources-for-education-and-inspiration-529c6f528983
https://machinelearningmastery.com/data-visualization-methods-in-python/
http://newcoder.io/dataviz/intro/
https://www.kaggle.com/benhamner/python-data-visualizations
https://towardsdatascience.com/data-science-with-python-intro-to-data-visualization-and-matplotlib-5f799b7c6d82
https://realpython.com/python-data-visualization-bokeh/
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Statistics is crucial to Data Science! In fact, the phrase Data Science was first used in a Statistics conference title. In this video, I'll cover 3 key concepts from Statistics that every Data Scientist needs to know. Statistical features, probability distributions, and Bayesian statistics will be explained using code, theory, and animations. Our specific application will be finding an optimal credit score for someone using Lending Club's loan data. Expect a musical interlude. Enjoy!
Code for this video:
https://github.com/llSourcell/LoanDefault-Prediction
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https://theschool.ai/
More learning resources:
https://www.kdnuggets.com/2018/12/introduction-statistics-data-science.html
https://towardsdatascience.com/the-5-basic-statistics-concepts-data-scientists-need-to-know-2c96740377ae
https://www.kdnuggets.com/2017/11/10-statistical-techniques-data-scientists-need-master.html
https://www.learndatasci.com/tutorials/data-science-statistics-using-python/
https://towardsdatascience.com/probability-and-statistics-explained-in-the-context-of-deep-learning-ed1509b2eb3f
https://www.datascience.com/blog/statistics-data-science-interview
https://www.datasciencecentral.com/profiles/blogs/29-statistical-concepts-explained-in-simple-english-part-1
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This past week Kaggle invited me to attend an event they hosted called Kaggle Days in Paris, France. Kaggle Days are a global series of offline events for seasoned data scientists and Kagglers. It was a lot of fun! I met some really interesting people from all over the world and the venue they booked is the biggest startup campus in the world (Station F). In this video, I'll introduce Kaggle Days, interview 5 top data scientists, and conclude with a demo from a top Kaggler on inventory prediction. Enjoy!
Code for this video:
https://github.com/llSourcell/invent-prediction
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More learning resources:
https://kaggledays.com/
https://www.youtube.com/watch?v=suRd3UzdBeo
https://www.youtube.com/watch?v=P1lgTATSVYA
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Welcome to Data Lit! This 3 month course is an intro to data science for beginners. In this video, i'll explain how a popular data science technique called sentiment analysis works using a real-world scenario. We'll play the role of a data scientist working at a startup making a personal healthcare device. Using sentiment analysis, we'll understand how consumers feel about a competitors product. That'll help us make decisions on how to promote our own product, and what feature we can focus on the most. Using Python, Twitter, and Google Colab, anyone can do this process in just a few minutes. Enjoy!
Code for this video:
https://github.com/llSourcell/Sentiment_Analysis
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More learning resources:
https://towardsdatascience.com/sentiment-analysis-with-python-part-1-5ce197074184
https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/
https://www.datacamp.com/community/tutorials/simplifying-sentiment-analysis-python
https://www.kaggle.com/ngyptr/python-nltk-sentiment-analysis
https://pythonspot.com/python-sentiment-analysis/
https://www.analyticsvidhya.com/blog/2018/07/hands-on-sentiment-analysis-dataset-python/
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