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
- Project: Pricing - Simple Exploratory Data Analysis - Uni-variate and Bi-variate analysis.
- Simple Linear Regression
- Multiple Regression
- Logistic Regression
- Naive Bayes
- Project: Loan default - The participants would build a model to predict the probability of default on a retail loan portfolio and optimize the model based on business constraints.
- Decision Tree
- Bagging, Boosting & Random Forests
- Support Vector Machines
- Neural Networks
- Project: Customer Analytics - The participants would create multiple customer segments and use those segments to identify profitable ones and the ones likely to churn
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
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.
(B.E, PGDM, FPM*)
I have over ten years of experience across training, consulting and software. I am a corporate trainer and data science consultant for Fortune 500 and MNC firms like VISA, CISCO, Honeywell, NXP, Metro, KPMG, PWC Analytics Advisory & Brillio technologies.
1. Python programming
Objective: To introduce the audience to basics of python programming.
- Fundamentals: Python overview. Installation. Packages & walkthrough. Operators, Data Types, Conditional Statements
- Control Flow Basics: For loops. While loops. Nested loops. Disadvantage of using loops. Alternates to loops
- Functions: Understand the structure of function. Build your own function. Usage of parameters and default values. Anonymous Functions
Supported with Hands-on exercises, quizzes and assignments
- 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
Machine Learning with Python Masterclass is segregated into 3 day training program; all filled with essential topics important for utilizing the technology tactfully. Program Details:
Pre Bootcamp: you will get the chance to brush up your python and machine learning knowledge with online self-paced modules.
Bootcamp: this 3 day training covers topics like Numpy, Data Visualization, Regression, Bagging, Boosting and Random Forests, etc. along with industry projects for practice.
Post Bootcamp: Capstron Projects and assignments along with the doubt clearing sessions.
Furthermore, this bootcamp training on machine learning with Python could be a turning point in your career.
This Bootcamp training program consists the essence of Machine Learning and Python. The purpose of this program is to impart in-depth intelligence on the most advanced and demanded technology and tools of Machnine Learning and Python. Participants will get the chance to learn important aspects such as: Data Visualization, NumPy, Decision Tree, etc. However, apart from the comprehensive course curriculum, you will get the industry projects to practice on and a lot more. In short, this training is a package of both theoretical and practical intelligence which will help you in your career growth.
You will gain intelligence on:
- The most unsupervised algorithms from Bagging, Boosting and Random Forest along with regression to KNN and decision tree techniques.
- Efficient use of Panda and Numpy for process the input data into the user data. You can accomplish the data mining tasks, etc.
- Building Neural Networks to represent the most advanced reinforcement learning.
- Tactfully using the technology to get accurate result on building the UI of an application using for data visualization and other big data models and a lot more.
Nowadays, this is listed amongst the most demanded skill-sets around the globe. Whether you are a software developer, product manager, or a business analyst learning machine learning with Python can take your professional life to the next level. The training has been designed to provide you not only rigorous and practical, but concise as well. In other words, this training is the first step for achieving your goals.
Bootcamp training consists a comprehensive curriculum along with industry based projects through which you can learn machine learning and Python techniques under the supervision of the expert trainer. This training offers you the chance to learn the most trendy techniques which would help you in getting new job opportunities or to excel in your current organization. After this training would be able to analyze the project complexities and resolve them efficiently.
You can write us at firstname.lastname@example.org or you can also contact us on the number provided on the website (relevant for your country).
Apart from the comprehensive curriculum and an experienced instructor,we will provide you some online e-learning modules for pre bootcamp training, this would be the self paced training including expert support via email. Secondly, you would gain the experience of working on real time industry projects during the bootcamp training. Moreover, you will get concepts overview + project hack, Access to the learning management system (LMS), doubt clearing sessions, etc.
Yes, you will receive a training certificate from ScholarsPro after the completion of this 3 days bootcamp training.
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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