Course Description


Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence.

COURSE CONTENT

The course content is divided along the lines of following :

DATA SCIENCE - INTRODUCTION

PYTHON ESSENTIALS (CORE)

ACCESSING/IMPORTING AND EXPORTING DATA USING PYTHON MODULES

DATA MANIPULATION – CLEANSING – MUNGING USING PYTHON MODULES

DATA ANALYSIS – VISUALIZATION USING PYTHON

BASIC STATISTICS & IMPLEMENTATION OF STATS METHODS IN PYTHON

PYTHON: DATA SCIENCE -PREDICTIVE MODELING – BASICS

LINEAR REGRESSION

LOGISTIC REGRESSION

KNN

EMSEMBLE LEARNING

CLUSTERING – K-MEANS and Hierarchical

Artificial Neural Networks

TENSORFLOW

Support Vector Machine(SVM)

Single Layered Perceptron

MLP - Regression & Classification concepts

Regression - Linear Regression with Neuron

Classification – Logistic Regression with Neuron

PROJECT - CONSOLIDATE LEARNINGS

Skills You'll Gain


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Applying Machine Learning Algorithms
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Probability and Statistics
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Data Modeling and Evaluation

BENEFITS


Make your resume stronger for M.S., M.Tech. and Placements

Industry Level Projects

Graded Certificate

Live Online Sessions

Internship Opportunity

Be Job Ready

Instructor


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Amit Mishra

Corporate Trainer Artificial Intelligence | ML | Data Science | Blockchain | BIG Data | Spark | IOT

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