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Program Overview

This Bootcamp emphasize on the aspects of the Machine Learning technology and the extensive use of Python for dynamic visualizations, Data Analysis, Decision Trees, etc. Moreover, the training deliberately aims to impart intelligence on essential concepts of Machine Learning with Python and also emphasize on implementing the Machine Learning Techniques in an efficient way.

PROGRAM STRUCTURE

GETTING READY

It is good to be prepared, get ready for the Bootcamp. Get a glance of Machine Learmning aspects using Python.

This series of online tutorial will introduce you with the basics of Machine Learning technology and its impact of its usage with Python.

3 DAY BOOTCAMP

Learn the extensive usage of Machine Learning with Python in this 3 days and 30 hours of bootcamp training.

Our carefully crafted curricullum is the concoction of right amount of theory and hands-on labs & projects. Our exprt instructors bring case from frontiles and solidify learning.

BEYOND BOOTCAMP

More learning, capstone project, case studies & doubt clearing session.

Get started on 3 capstone projects. Solidify your learning by accessing several assignments & new case studies. Doubt clearing sessions will be conducted as well.

POST COMPLETION YOU WILL BE ABLE TO…

WHY SHOULD YOU DO THIS BOOTCAMP?


CUTTING EDGE CURRICULULM

COURSE CONTENT HAND CRAFTED (& NOT COPY PASTED) BY CONSULTING EXPERTS. EVERY THING IS LEARNT THROUGH PRACTICAL CASE STUDIES & INDUSTRY PROJECTS



BUILDS SOLID FOUNDATION

3 FOCUSSED DAYS WITH US IS ALL YOU NEED TO GET STARTED ON MACHINE LEARNING WITH PYTHON CONCEPTS AND ITS EXPLICIT USE IN REAL TIME SCENARIO IN THE INDUSTRY.

ON THE GO LEARNING

ANYTIME ACCESS ONLINE – IMMERSIVE LEARNING VIDEOS, RECORDED SESSIONS, ASSIGNMENTS, PROJECTS, SOLUTIONS & DOUBT CLEARING SUPPORT THROUGH OUR LEARNING SYSTEM


INDUSTRY MENTORSHIP

RECEIVE 1-TO-1 GUIDANCE FROM INDUSTRY EXPERTS ON HOW TO IMPROVE YOUR ANALYTICAL SKILLS & GROW WITHIN THE INDUSTRY AS AN EXPERT.

CONCEPTUALIZED BY INDUSTRY EXPERTS


Jaydeep Chakraborty
Data Science Expert

An innovator and creator at heart. He has 10+ years of experience in building analytical solutions & digital strategy for large organizations. Specialized in business transformation through analytics.

SRINIVAS KOPPARAPU
Big Data Expert

Srinivas Kopparapu is an internationally recognized faculty, with 31 years of industry experience. He is a Franklin Covey Certified faculty and an evangelist of Big Data, Hadoop, Mark Logic , Bitcoin & Python

Jose Marcial Portilla
Data Science Expert

After graduating from Santa Clara University, he has gone on to lead data science teams and provided several Fortune 500 companies with Data Science and Programming Training and Consultation.

Gurleen Sabharwal
Data Science Expert

After graduating from SRCC & DSE, she has worked for world's top consulting firms. She brings her passion for teaching & 10+ years of analytics implementation experience at Fortune 100 companies.

Shishir Pal
Marketing Analytics Expert

A graduate from IIT Kanpur, has a passion for telling stories from big data. He has built several innovative solutions on big data while working for some of the top consulting firms in the world.

Manish Sharma
HR Analytics Expert

A graduate from IIT Chennai has a heart of a researcher. He loves to tinker with deep learning and AI. While working for top consulting firms in the world he has helped several Fortune 100 companies.

Course Contents

Day 1
2 NumPy (Python for Data Analysis)
  • A quick introduction to  NumPy Selection
  • Arrays of Numpy
  • Get introducted with Array Indexing
  • Operations performed in Numpy
 
3 An Introduction to Pandas (Python for Data Analysis)
  • An overview of Pandas
  • Understand the Series of Pandas Section
  • The DataFrames of Pandas Section
  • Identifying the Missing Data
  • What is Groupby?
  • Methods of Merging Joining as well as Concatenating
  • Perform Operations
  • Develop understanding on Data Input and Output
 
4 Develop Understanding on Pandas Exercises (Python for Data Analysis)
  • An overview of the SF Salaries Exercise
  • What are SF Salaries Solutions ?
  • Overview of the Ecommerce Purchases Exercise
  • Develop understanding on the Ecommerce Purchases Exercise Solutions
 
5 Learn about Matplotlib (Python for Data Visualization)
  • Understand the concepts of Data Visualization
  • Get introduced with Matplotlib
  • Understand the concepts of Data Visualization with Matplotlib & Python
  • Develop understanding on Matplotlib
 
6 working with dates
  • An idea of feature engineering from date and time
  • Hadling date variables in Machine Learning using Python
Day 2
7 Regression
 
Simple Linear Regression
  • Simple Linear Regression Modelling
 
Multiple Regression
  • Multiple Regression with statsmodel
  • Multiple Regression and Feature Importance
 
Logistic Regression
  • Theory of Logistic Regression
  • The use of Logistic Regression with Python
  • An overview of Logistic Regression Project & Solutions
 
8 Naive Bayes
  • Examples of Naive Bayes
  • Codes in Naive Bayes with MNIST
  • What are Non-Naive Bayes?
 
9 Understand the concepts of K Nearest Neighbors
  • Understand the KNN Theory
  • KNN with Python
Day 3
10 Decision Trees
  • Fundamentals of Decision Tree
  • What is Information Entropy?
  • How to maximize the Information Gain
  • Choosing  the Best Split
  • About Decision Tree in Code
 
11 Bagging, Boosting & Random Forests
  • Learn about Random Forest with Python
  • Is Random Forest a Bagging Algorithm or Boosting Algorithm?
  • Bagging, Boosting and Random Forests Algorithms for machine Learning
 
12 K Means Clustering
  • Understand the theory of K Means Algorithm
  • Use of K Means with Python
  • An overview of K Means Project and Solutions
 
13 Learn About Principal Component Analysis (PCA)
  • An introduction to PCA Algorithms
  • The use of PCA in Machine Learning
 
14 What are Support Vector Machines?
  • Understand the SVM Theory
  • The implementation of Support Vector Machines with Python
 
15 Neural Networks
  • Theory of Neural Networks
  • Basics of TensorFlow
  • Installation of TensorFlow

CERTIFICATION


Certified Data Scientist

Gain expertise on machine learning with python post attending the Bootcamp and completing 80% of the e-learning modules and assignments

Experience Certificate of 6 months

Post completion of anyone of the 3 CAPSTONE Projects you will receive a Six-months experience certificate from our consulting partner company SIMPLIFY ANALYTICS PVT LTD

OUR VALUE PROPOSITION

You Will Learn to build project based solution. Guaranteed!


LEARN FROM ‘EXPERTS ONLY’

IVY league education + 10+ years of experience at world’s best consulting companies


REAL INDUSTRY PROJECTS

We leverage our consulting practice to bring nothing but only real industry projects


PERSONALIZED LEARNING

Handholding for analytics novices & new exposure for analytics amatuers


GUARANTEED PLACEMENT

100% proven techniques for job search, resume building & interview preparation


Our Machine Learning With Python Training Overview


50000+ Training hours
  • Rich experience in both online and classroom training. 100+ batches in last 2 years
  • Corporate training at Fortune 500 companies
  • Analytics programs and guest lectures at leading B Schools

1000+ Students & Alumni
  • Our students are trained to be successful in keeping with their skillsets and aspirations
  • We groom students as Data Engineers, Data Scientists, Analytics Consultants and Data Creatives

6 Training Areas
  • We have courses in Business Analytics, Machine Learning, Big Data, Visualizations, Analytics Tools & Industry specific areas
  • Each area has multiple courses giving the opportunity to select micro specialization
  • We use industry cases only

90%+ Placement Record
  • Quality of our students has enabled them to work across leading consulting & technology companies
  • We forge partnerships with our students well beyond their training helping them with guidance and business outreach


Average Google & Facebook ratings
This is a result of our relentless focus to add value to our students

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