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.
200 HOURS PROGRAM
- Pre-Bootcamp -> 30 Hours of self paced video based learning
- Bootcamp -> 30 Hours of classroom learning over 3 days
- Post-Bootcamp -> 5 hours of online doubt clearing + 60 hours of Capstone Project
- 3 Industry Projects
- Capstone Project : Kaggle case study
- Overview of Concepts + Project hacks
- Access to virtual cloud for practice
- Multiple use cases from multiple domains
- Job Assistance*
- International award winning faculty
- Education -> Graduate in Maths, Science, Commerce, Statistics, Economics or Management
- Work Exp. -> Fresher / IT / Non-IT
- No prerequisites
- Learning starts from scratch
- Excel -> Basic level
- Programming Exp. -> Not required
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.
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.
A Quick Introduction to Python and Machine Learning
- Self Paced online calsses
- Expert online support
- Access to the curriculum 24/7
- Brush-up your Python knowledge: usees, installation of environment set-up, Pandas, etc.
- Learn Python for Statistics
- Learn how to identify geogriphical plotting
- Coveres the basics of data visualization using python
- Real life industry case studies
- Learn through online Self paced classes
- Get instructor’s support on modules
- Access the lectures and contents 24/7
- Good way to understand the basics of NLP
- Introduction to NLP Application, NLP processing with NLTK, etc.
- Industry based case study
- Practice exercises
- Self paced online classes
- Online expert support
- 24/7 access to LMS
- Covers the concepts of using Python for data analysis
- Develop your understanding on Matplotlib
- Data Visualization
- Feature Engineering
- Working with Dates
- Industry Project
- Simple Linear Regression
- Multiple Regression
- Logistic Regression
- Naive Bayes
- Industry Project
- Decision Tree
- Bagging, Boosting & Random Forests
- Support Vector Machines
- Neural Networks
- Industry Project
CAPSTONE PROJECTS & ASSIGNMENTS
- Kaggle case study ( beginner - intermediate level )
- Hands on exercises on Python
- Access to learning management system
- Mentorship for the projects
- Doubt clearing sessions
POST COMPLETION YOU WILL BE ABLE TO…
WHY SHOULD YOU DO THIS BOOTCAMP?
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.
ANYTIME ACCESS ONLINE – IMMERSIVE LEARNING VIDEOS, RECORDED SESSIONS, ASSIGNMENTS, PROJECTS, SOLUTIONS & DOUBT CLEARING SUPPORT THROUGH OUR LEARNING SYSTEM
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
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.
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.
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.
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.
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.
- A quick introduction to NumPy Selection
- Arrays of Numpy
- Get introducted with Array Indexing
- Operations performed in Numpy
- 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
- 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
- Understand the concepts of Data Visualization
- Get introduced with Matplotlib
- Understand the concepts of Data Visualization with Matplotlib & Python
- Develop understanding on Matplotlib
- An idea of feature engineering from date and time
- Hadling date variables in Machine Learning using Python
- Simple Linear Regression Modelling
- Multiple Regression with statsmodel
- Multiple Regression and Feature Importance
- Theory of Logistic Regression
- The use of Logistic Regression with Python
- An overview of Logistic Regression Project & Solutions
- Examples of Naive Bayes
- Codes in Naive Bayes with MNIST
- What are Non-Naive Bayes?
- Understand the KNN Theory
- KNN with Python
- Fundamentals of Decision Tree
- What is Information Entropy?
- How to maximize the Information Gain
- Choosing the Best Split
- About Decision Tree in Code
- Learn about Random Forest with Python
- Is Random Forest a Bagging Algorithm or Boosting Algorithm?
- Bagging, Boosting and Random Forests Algorithms for machine Learning
- Understand the theory of K Means Algorithm
- Use of K Means with Python
- An overview of K Means Project and Solutions
- An introduction to PCA Algorithms
- The use of PCA in Machine Learning
- Understand the SVM Theory
- The implementation of Support Vector Machines with Python
- Theory of Neural Networks
- Basics of TensorFlow
- Installation of TensorFlow
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
Handholding for analytics novices & new exposure for analytics amatuers
100% proven techniques for job search, resume building & interview preparation
Our Machine Learning With Python Training Overview
- 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
- 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
- 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
- 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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