MODULE I-INTRODUCTION TO STATISTICS
- FUNDAMENTALS – PROBABILITY & ITS TYPES
- PROBABILITY DISTRIBUTIONS
- DATA SAMPLING & ANALYSIS
Why you should study Artificial Intelligence & Machine Learning course @ Learning Catalyst
2 MONTH CLASSROOM HANDS-ON + ONLINE PROJECT + INTERNSHIP
All rolled into one. Others give lip service to experience, we have a full fledged platform at
www.web-stepup.com to help you with your project experience. Also our placement team is constantly in touch with the industry and will provide you with a 2 month internship.
THE PLACE TO BE FOR NEW MEDIA COURSES + INDUSTRY EXPERTS
We are a five year old brand with the best faculty in the business. Don’t believe us – have a look at our faculty page. Also have a look at the previous company executives who have attended
our training.
THE BEST PLACEMENTS IN THE TECH INDUSTRY
You need a specialist to help you with placements in the the digital world and we have the experience and the right relationships to be help you with this. Have a look at our past placements.
About Learning Catalyst
Learning Catalyst’s Machine Learning course is your first step towards careers in Data Analysis, Data Science, Machine Learning, AI, and more.Learn to analyze large amounts of data to bring out insights using machine learning techniques in Python and become one of the most in-demand Data Scientists in the world today.
Our Industry Faculty from Mumbai
Rajashree Rajadhyax
CereLabs ICFAI
The Learning Catalyst
Nilesh
Artificial Intelligence Consultant at Cere Labs, Machine Learning, Deep Learning, AI
The Learning Catalyst
Sunil Joglekar
Senior Consultant - Innovation & Technology at Independent
The Learning CatalystCourse Content of the Artificial Intelligence Training & Machine Learning Course in Mumbai | Vile Parle
MODULE II - PART I - PYTHON PROGRAMMING
- INTRODUCTION TO PYTHON
- CONTROL STRUCTURE
- STRING, LIST, TUPLES & DICTIONARIES
- LAMDA, MAP, REDUCE, FILTER
- MODULES & FUNCTIONS
- PACKAGES & LIBRARIES IN PYTHON
- FILES & EXCEPTION HANDLING
MODULE II - PART II - ML - PYTHON TOOLS & LIBRARIES
- INTRODUCTION TO PANDAS
- JUPYTER NOTEBOOK
- NUMPY/SCIPY BASICS
- MATPLOTLIB BASICS
- INTRODUCTION TO SCIKIT
- DATA LOAD & PREPROCESSING
MODULE III - WEKA/ORANGE
- INTRODUCTION TO ML TOOL
- ML EXAMPLES & ASSIGNMENTS
MODULE IV - INTRODUCTION TO MACHINE LEARNING
INTRODUCTION TO MACHINE LEARNING
- Why do we need Machine Learning?
- Which Industries can use Machine Learning – Sample Examples
- What is Machine Learning – A General Introduction
- Supervised Machine Learning
- Unsupervised Machine Learning
HOW MACHINE LEARNING WORKS
- Machine Learning Work Flow
- Data Collection
- Data Mining
- Feature Engineering
- Visualization
- Algorithm Selection
- Evaluation & Optimization
- Prediction
MODEL EVALUATION TECHNIQUES AND FEATURE ENGINEERING
- Model Evaluation
- Need of Feature Engineering
- Feature Engineering techniques
MODULE V - MACHINE LEARNING ALGORITHMS
A) Regression
- Linear & Non-Linear
- Examples & Project assignment – Linear and Non-linear regression model building
B) Classification
- Examples & Project assignment
C) Clustering
- Project assignment – Customer Segmentation
- Classroom Option
- Venue: Office No-2, Ground floor, Ganga keshav SO, Hanuman Road, Cross Road No.1, Opp- Lakme salon,Vile Parle (E), Mumbai- 400057.
- Session: Weekend Only
- Duration: 3 Months
- Cost: INR 45000 + GST
- Contact: +91 89761 05325
- Certification: Yes
- Online Option
- Venue: Google Hangout.
- Session: Weekend Only
- Duration: 3 Months
- Cost: INR 30000 + GST
- Contact: +91 89761 05325
- Certification: Yes
