The best way to learn is by hands-on practice. This notebook contains all the fundamental and basics code for Data Science, Machine Learning and Deep Learning. I will keep incrementally adding to this repository as I progress in my journey.
Day 1 : Simple Linear Regression
Day 2 : Multiple Linear Regression
Day 3 : Linear Regression with Sklearn
Day 4 : Real Life Example using Sklearn
Day 5 : Logistic Regression
Day 6 : KMeans Clustering
Day 7 : Clustering Exercises <br>
Day 8 : Linear Algebra
Day 9 : Basic Neural Network
Day 10 : TensorFlow
Day 11 : MNIST Deep Neural Network
Day 12 : Business Case Model - AudioBooks Example
Day 13 : Preprocessing Module for Absenteeism Data
Day 14 : Logistic Regression Model for Absenteeism Preprocessed Data
Data Science : https://www.udemy.com/course/the-data-science-course-complete-data-science-bootcamp/
Machine Learning : https://www.udemy.com/course/machinelearning/