Data Science with Machine learning

Course Overview

Turn Data into Insights. Build Intelligent Solutions.

Data Science with Machine Learning is a practical, career-focused course designed to help learners develop the skills needed to work with data, extract meaningful insights, and build machine learning solutions.

The course covers the complete data science workflow, starting from Python programming and data handling to data visualization, machine learning algorithms, NLP, and OpenCV. Learners will gain hands-on experience working with real-world datasets and applying machine learning techniques to practical problems.

What You Will Learn

Python for Data Science
SQL for Data Analysis
NumPy & Pandas
Data Visualization with Matplotlib & Seaborn
Scikit-learn
Machine Learning Algorithms
Supervised & Unsupervised Learning
Natural Language Processing (NLP)
OpenCV & Computer Vision
Data Analysis and Visualization
Real-world Machine Learning Projects

Who Can Join?

This course is suitable for:

Beginners interested in Data Science
Students and graduates
IT professionals looking to upskill
Aspiring Data Analysts and Data Scientists
Python learners interested in Machine Learning
Professionals looking to transition into AI & Data Science

SYLLABUS

Python

Python Basics
Variables & Data Types
Operators
Conditional Statements
Loops
Lists, Tuples, Sets, Dictionary
Functions
Lambda Functions
File Handling
Exception Handling
OOP Concepts
Modules & Packages

Mathematics & Statistics

Basic Mathematics
Statistics
Mean, Median, Mode
Variance & Standard Deviation
Probability
Correlation & Covariance
Normal Distribution
Outliers

NumPy & Pandas

NumPy Arrays
Array Operations
Pandas Series & DataFrame
Data Loading
Data Cleaning
Missing Values
Data Filtering
GroupBy
Merge & Join
Data Analysis

Data Visualization & EDA

Matplotlib
Seaborn
Charts & Graphs
Data Visualization
Exploratory Data Analysis
Data Cleaning
Outlier Detection
Correlation Analysis

SQL

Database Basics
CREATE
INSERT
SELECT
UPDATE
DELETE
WHERE
ORDER BY
GROUP BY
HAVING
JOIN
Subqueries
Aggregate Functions
Python & SQL Integration

Machine Learning

Introduction to Machine Learning
Types of Machine Learning
Supervised Learning
Unsupervised Learning
Train & Test Data
Data Preprocessing
Feature Engineering

Regression

Linear Regression
Multiple Linear Regression
Polynomial Regression
Ridge Regression
Lasso Regression
Regression Evaluation

Classification

Logistic Regression
KNN
Decision Tree
Random Forest
SVM
Naive Bayes
Confusion Matrix
Accuracy
Precision
Recall
F1 Score

Unsupervised Learning

K-Means Clustering
Hierarchical Clustering
DBSCAN
PCA
Customer Segmentation

Advanced ML

Ensemble Learning
XGBoost Basics
Cross Validation
Hyperparameter Tuning
GridSearchCV
RandomizedSearchCV
Model Saving

NLP & AI

Introduction to NLP
Text Preprocessing
Tokenization
Stop Words
Stemming & Lemmatization
Bag of Words
TF-IDF
Spam Detection
Generative AI Basics