Repository contains : My Experiments, Lecture Code , Algorithms and Reports for a beginner to becoming a Machine Learning Engineer .
Lecture 01:- Introduction to Machine Learning
Lecture 02:- Statistical Computation with Python, Working with OpenCV
Lecture 03:- Review of Linear Algebra
Lecture 04:- K-Nearest Neighbors Algorithm
Lecture 05:- K-Means Clustering
Lecture 06:- Decision Trees and Random Forests
Lecture 07:- Linear Regression
Lecture 08:- Logisitic Regression
Lecture 09:- Intro to Neural Nets - Intuition, MLP
Lecture 10:- Backpropogation
Lecture 11:- Convolutional Neural Network
Lecture 12:- NaiveBayes
Lecture 13:- Principal-Component-Analysis
Lecture 14:- Sentiment Detection
Lecture 15:- WordNetMinor
Lecture 16:- Selenium & WebDrivers