Path to become Data Scientist(Videos and reading resources)
Machine learning Introduction:
Algebra:
Probability and statistics:
- Probability and statistics in data science using python
- Khan Academy for probability
- Khan Academy for statistics
- coursera| Basic statistics
Python for data science
Machine Learning
- Machine Learning by Andrew Ng| concept
- statisticsfun|linear regression|concept
- Applied Machine Learning
- Machine Learning fun easy| concept
- Practical ML|sentdex|python
- ML| Udacity
- Machine Learning Recipes with Josh Gordon
- Google |mastering machine learning| Crash course| tensorflow
Evaluation Metrics
- ML error metrics
- datcamp|metrics
- AUC and ROC curve
- What's the difference between accuracy and precision?
Deep Learning
- Neural network|3Blue 1Brown
- Neural network | hugo
- Keras|edureka
- Keras|udemy
- Getting Started with Keras (AI Adventures)
- Ten steps to keras|
- Deeplearning.ai
- Course 1,2,3,4,5 of deep learning specialization
- Convolutional Neural Networks
- RNN
- DL|udemy
- DL|RNN
- 7 step to mastering deep learning
- Python for data science
- Transfer Learning
- Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM
- MIT deep Learning
Natural Language Processing:
- Deep learning for NLP by Richard
- Deep Learning for NLP
- Intro to NLP with spaCy (1): Detecting programming languages | Episode 1: Data exploration
- Building new NLP solutions with spaCy and Prodigy - Matthew Honnibal
- Advanced NLP with Spacy
- A Code-First Introduction to Natural Language Processing
Recommedation engine
- coursera
- Andre ng| chapter 16
- How does Netflix recommend movies? Matrix Factorization
- Movie Recommendation System with Collaborative Filtering
Computer Vision
Big data
Reinforcement Learning
- Deep learning| reinforcement Learning
- Simplified Reinforcement learning
- TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)
- Reinforcement Learning Course
- code camp
- Edureka
Artificial Intelligent
Data Scientist Interiew
Awesome talk On Machine Learning
Data Science Courses
- Learn Deep learning fundamental with Keras from IBM
- Python for data science
- Master the skills needed to solve complex data challenges
- Edx| Learn Data Science by doing data science
Data science competition
Data Scientist Interiew
Data Science Courses
- Data science course
- Master the skills needed to solve complex data challenges
- Edx| Learn Data Science by doing data science
Data Science Blogs Resources
Blog courses
- Machine Learning Mastery
- Machine Learning is fun series
- Best kaggle kernel tutorials
- Data school
- Getting started with kaggle
- Machine Learning @ Berkeley|crash
- Kaggle
- ML from scratch
- Mlcourse.ai
- Andrew Trask
- Andrej karpathy
Visualization of model
Math for Data Sciecne
- math for ML
- Linear Algebra guide
- Linear Algebra cheatsheet
- A brief introduction to probability and statistics
- review probability
- Probability for ML
- probability ppt
Linear Regression
Logistic Regression
Naive Bayes
K nearest Neighbour
Support Vector Machines
Decision trees
- Datacamp| decision trees
- How To Implement The Decision Tree Algorithm From Scratch In Python
- Decision tree |medium
- Ensemble
- Ensemble_learning algo
Time series
Clustering
Deep Learning
Tensorflow
- tensorflow|documentation
- TensorFlow: A primer
- RNNs in Tensorflow
- Implementing a CNN for Text Classification in TensorFlow
- how to run text summarization with tensorflow
Transfer Learning
Keras
NLP
- Coursera| NLP
- Standford NLP course
- Stanford deep NLP
- Data Schools|NLP
- OXFORD |DLNLP
- Washington
- The Definitive Guide to Natural Language Processing
- Approaching-almost-any-nlp-problem-on-kaggle
- NLP is fun
- Deep Learning for NLP
- Advanced NLP with Spacy
- A Code-First Introduction to Natural Language Processing
- practitioner guide to NLP
Chatbot
Big Data
GAN
Reinforcement Learning
- Learning Reinforcement Learning
- Intro to Reinforcement
- RL tutorials
- Deep Reinforcement Learning: Pong from Pixels
Machine Learning best practice
Open cv
AI Trend
Data Science Projects
Datasets
Books
- ISLR
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow]s by Aurélien Géron
- Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 by Sebastian Raschka