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IT Course

Machine Learning

Python-based ML from data handling and statistics to building and evaluating predictive models.

PythonNumPy & PandasStatisticsSupervised LearningLogistic & Linear RegressionTree-Based ModelsNeural Networks
About This Course

Machine Learning

A hands-on machine learning course built around Python. You'll work through data handling, statistical thinking, and the core supervised and unsupervised learning algorithms, finishing with tree-based models and an introduction to neural networks.

Course Curriculum

1
Python Foundations
Python internals, architecture and data structures; setting up Anaconda and Jupyter Notebook; core data types.
2
Files & Data Structures in Python
Reading and writing files, variable naming rules, and lists, tuples, sets and dictionaries.
3
Loops & Conditionals
If/elif/else conditions and for/while loops in Python.
4
NumPy for Data Analysis
Working with arrays and the machine learning libraries built on NumPy.
5
Pandas for Data Manipulation
Manipulating, calculating, and analysing data with Pandas.
6
Data Visualization
Exploring and visualizing data using Matplotlib and Seaborn.
7
Statistical Thinking
Measures of central tendency and dispersion, and IQR-based statistics.
8
Supervised & Unsupervised Learning
Classification, regression, and fine-tuning models including linear regression and its metrics.
9
Logistic Regression
Logistic regression theory, metrics, and hands-on practice.
10
Data Preprocessing
Standardization, normalization, handling missing values and outliers, and feature scaling/selection.
11
Tree-Based Models
Decision trees, bagging, boosting, and random forests.
12
Neural Network Fundamentals & Capstone Project
Introduction to neural networks, applied through a project using the full ML workflow.
Career Outcomes

After Completing This Course

🎯Machine Learning Trainee
🎯Data Analyst
🎯Junior Data Scientist

Course Details

Fee₹4,999
Duration28–34 Hrs
ModeClassroom & Online
EligibilityAny graduate with basic computer knowledge
CertificateYes, on completion
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