Python Machine Learning with Real World Projects & Internship

Unlock the world of possibilities with Machine Learning and Python! In this course, you’ll dive into the fascinating world of Machine Learning and discover how to use Python, one of the most popular programming languages, to build and train intelligent models that can make predictions and decisions. From image recognition to natural language processing, you’ll learn how to harness the power of Machine Learning to solve real-world problems. With hands-on projects and expert guidance from our mentors, you’ll gain the skills and confidence to start a career in this rapidly- growing field.

₹10,000

Highlights:

In Collaboration with

Cognitio Knowledge Tech Pvt. Ltd.

Overview

Program Outline

Statistics for analysis using Microsoft Excel
What is ML and some common applications
Understanding and applying techniques for cleaning and preparing data for ML
Understanding and applying techniques for creating new features from raw data
Understanding the different types of models available in scikit-learn and how to choose the best one for a given problem
Understanding how to fine-tune model hyperparameters and evaluate model performance using different metrics
Understanding the concepts of overfitting and underfitting and how to avoid them
Understanding and using regularization techniques to prevent overfitting
Handling large datasets and dealing with common issues
Saving and loading trained models
Deploying ML models
Project work: Using the skills learned to work on an ML project

Unity Popularity

Microsoft, Nasa, Google Facebook

Program Benefits

Through hands-on ML projects using Python, you'll be ahead of the curve and prepared for the jobs of tomorrow.
Discover how to build intelligent models that can make predictions and decisions using popular libraries like scikit-learn.
Learn how to harness the power of Machine Learning to solve real-world problems
Stand out from the crowd with a portfolio of Machine Learning projects, and be well-prepared to pursue a career in this rapidly-growing field.

Terms & Conditions

Candidates must complete all assigned tasks within the assigned timeframe.
Program fees includes LIVE instructor training & project mentoring sessions.
Plagiarism will be checked and verified for submitted assignments/projects.
A certificate of completion will be issued only after the candidate has successfully completed the entire program, including but not limited to submission of assignments.
Entire fees need to be paid online in advance and is non-refundable.
Only after completion of the program, will an Online Internship be assigned for 4 weeks, 16 hours maximum.