+1 (323) 555-9876

mail@rocket-soft.org

Machine Learning and Predictive Analysis

Name: Machine Learning and Predictive Analysis
Rating: 5.00 (2 reviews)

Accelerate your Career

Learn applied machine learning and predictive analytics. Build real-world models for forecasting, classification, and decision-making using Python.

3 Modules

with Certifications

5:40 Hours

of Recorded Content

5.0 Ratings

by 780 Learners

English

Language

Paid Course

Get this Course @ ₹799

Name

Email ID

Phone Number

780 enrolled in this course

Course Specifications

Sections

Lessons

120

Capacity

Unlimited

Duration

5:40 Hours

Students

780

Access Duration

90 Days

Created Date

2 Jun 2026

Updated Date

29 Jun 2026

Machine Learning and Predictive Analysis

Machine Learning and Predictive Analysis is a specialist-level course designed to equip learners with practical skills in building intelligent predictive systems using industry-standard machine learning frameworks. Starting with Scikit-Learn fundamentals and data preprocessing techniques, the course progresses through regression, classification, clustering, ensemble methods, and predictive analytics applications. Students will work on real-world use cases including disease prediction, customer segmentation, loan prediction, and forecasting models before advancing to AI applications powered by Natural Language Processing and Deep Learning. By the end of the course, learners will be capable of designing and deploying robust machine learning solutions for business and research applications.

MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

A comprehensive curriculum designed to take you from beginner to professional.

M1

Module 1 — Machine Learning Foundations

Introduction to Machine Learning Workflows using Scikit-Learn

Building Your First Machine Learning Model using Scikit-Learn

Advanced Machine Learning Model Development using Scikit-Learn

Text Preprocessing using Stemming and Lemmatization Techniques

Sentence Tokenization for Natural Language Processing Applications

Introduction to Data Visualization for Machine Learning Projects

Creating Basic Data Visualizations and Plots using Python

M2

Module 2 — Machine Learning Algorithms and Applications

Introduction to Spatial Data Science and Geospatial Analytics

Building a COVID-19 Disease Prediction Model using Machine Learning

Advanced Implementation of a COVID-19 Disease Prediction System

Introduction to Ensemble Learning for Predictive Analytics

Implementing Ensemble Learning Techniques for Improved Predictions

Machine Learning-Based Parkinson’s Disease Prediction System

Implementing Random Forest Regression for Predictive Modeling

House Price Prediction using Regression-Based Machine Learning Models

Introduction to K-Means Clustering for Data Segmentation

Image Segmentation using K-Means Clustering Techniques

Customer Segmentation using Unsupervised Machine Learning Techniques

Decision Tree Algorithms for Classification and Prediction

Home Loan Eligibility Prediction using Machine Learning Design

Home Loan Eligibility Prediction using Machine Learning Implementation

M3

Module 3 — Advanced AI and Deep Learning Applications

Spam Email Classification using Natural Language Processing Techniques

Customer Churn Prediction using Deep Learning Models

Capstone Project

Predictive Analytics Portfolio

Synthesize your learning by building a suite of 7 industry-standard AI models that address real-world business challenges.