Prerequisites
Our Course is designed to provide you a deep understanding of application of machine learning in major fields . We have Covered all the major fields : Computer Vision , NLP , Data Mining , Clustering
For this amazing course you should have knowledge of :
For this amazing course you should have knowledge of :


course contents

INTRODUCTION TO ML :
UNDERSTANDING SUPERVISED LEARNING :
ALGORITHM 1 : LINEAR REGRESSION:
Project: Case Study
ALGORITHM 2 : LOGISTIC REGRESSION:
Project: Case Study
ALGORITHM 3 : Decision Trees:
Project case study
ALGORITHM 4 :Support Vector Machines:
Project: Case Study
ALGORITHM 5 : KNearest Neighbors:
Project: Case Study
UNSUPERVISED ALGORITHMS
Project :Case Study
PART II : NEURAL NETWORKS 1 . Artificial Neural Networks (ANN)
Project :Churn Modelling
2 . Convolutional Neural Networks (CNN)
Project :Classify Cat or Dog
3 . Generative Adversial Networks
Project : Case Study
PART III : Natural Language Processing
Project : Create program for sentiment analysis with NLTK 