Machine Learning with Data Analytics




Machine Learning & AI 

Basics of AI & Introduction

  • Artificial Intelligence
  • PEAS Analysis of Problem
  • Process flow for an AI agent
  • Supervised & Unsupervised Learning
  • Regression & Classification Problems

 Linear Regression

  • Regression Problem Analysis
  • Mathematical modelling of Regression Model
  • Gradient Descent Algorithm
  • Programming Process Flow
  • Use cases
  • Programming Using python
  • Building simple Univariate Linear Regression Model
  • Multivariate Regression Model

 Artificial Neural Networks

  • Neurons, ANN & Working
  • Single Layer Perceptron Model
  • Multilayer Neural Network
  • Feed Forward Neural Network
  • Cost Function Formation
  • Applying Gradient Descent Algorithm
  • Backpropagation Algorithm & Mathematical Modelling
  • Programming Flow for backpropagation algorithm
  • Use Cases of ANN
  • Programming SLNN using Python
  • Programming MLNN using Python
  • Digit Recognition using MLNN
  • XOR Logic using MLNN & Backpropagation
  • Diabetes Data Predictive Analysis using ANN
  • Project – Banking Problem Analysis – When the customer will leave?
  • Project – Medical Problem Analysis



  • Hierarchical Clustering
  • K Means Clustering
  • Use Cases for K Means Clustering
  • Programming for K Means using Python
  • Image Color Quantization using K Means Clustering Technique


Deep Learning Networks

Introduction to TensorFlow

  • The Programming Model
  • Data Model
  • Tensor Board
  • Introducing Feed Forward Neural Nets
  • Softmax Classifier
  • ReLU Classifier
  • Dropout Optimization
  • Deep Learning Applications

Convolutional Neural Networks

  • CNN Architecture
  • Pooling
  • Variants of the Basic Convolution Function
  • Efficient Convolution Algorithms
  • The Neuroscientific Basis for Convolutional Networks

Natural Language Processing

  • Natural Language Processing & Generation
  • Semantic Analysis
  • Syntactic Analysis
  • Language Translation
  • Using NLTK
  • Using Textblob
  • Sentiment Analysis
  • Project: Streaming live tweets and Sentiment Analysis

Advice For applying Machine Learning

Machine Learning for System Design

Python Libraries used:

  • Numpy
  • Matplotlib
  • Pandas
  • Theano
  • Scikit-learn
  • TensorFlow
  • Keras
  • Scikit-Image
  • Keras
  • NLTK
  • Textblob

The above content is a elaborated content and the part/s of the same according to the time will be covered.

Practicals Covered 

This is a Hands-on  Summer Training &  Internship program on Data Analytics with Machine Learning. The training program includes learning sessions with the help of hands-on sessions. Finally the trainees work on a Real time application project* as a part of internship. The content will be covered as per the time no of days.



  1. International Certification from Robotech Labs Private Limited
  2. Internship Certificate
  3. Project Letter in case project week is taken.


  • Batch 1 : 1 – 15 June at DTU [ Formerly Known As Delhi College of Engineering ]
  • Batch 2 : 16 – 30 June at DTU [ Formerly Known As Delhi College of Engineering ]


INR 6500/-

*A Project week ( including Two weeks of Project Work from Home ) can be added extra. The total internship period will be Four weeks in this case.


We will share with you the details of the PG’s and Guest House available in the vicinity. You can choose to book the PG/Hostel beforehand according to the facilities you need and your budget.


Upcoming Training Schedule

Batch 1 : 1- 15 June 2020, Batch 2 : 16 -30 June 2020