Best Python & Machine Learning Course in Aliganj, Lucknow

Course Objectives

• Teach robust Python programming skills for ML workflows.
• Build expertise in data manipulation with Pandas & NumPy.
• Train students to build, evaluate and tune ML models using Scikit-Learn.
• Provide hands-on experience with real-world datasets and projects.
• Prepare students for entry-level roles in Data Science & ML or internships.

Python & Machine Learning Course Syllabus

• Python Fundamentals: Syntax, Variables, Data Types, Operators
• Control Flow: Conditionals, Loops, List Comprehensions
• Functions, Modules, Virtual Environments
• Data Structures: Lists, Tuples, Dictionaries, Sets
• File Handling & Exception Handling
• NumPy: Arrays, Vectorized Operations, Indexing & Broadcasting
• Pandas: Series, DataFrame, Read/Write, Filtering, GroupBy, Merge/Join
• Data Cleaning: Missing Values, Outliers, Encoding, Scaling
• Data Visualization: Matplotlib, Seaborn — Plots, Heatmaps, Pairplots
• Exploratory Data Analysis (EDA) & Feature Engineering
• Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN
• Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, PCA (Intro)
• Model Evaluation: Cross-Validation, Confusion Matrix, Precision, Recall, F1 Score, ROC-AUC
• Model Tuning: Grid Search, Hyperparameter Tuning
• Intro to Deep Learning: Neural Networks Overview & Keras (optional basics)
• Project Work: End-to-end projects (Classification, Regression, EDA Reports)
• Version Control & Reproducible Notebooks (Git & Jupyter tips)

Who Can Join?

• Students (12th / Graduate)
• Beginners with basic computer knowledge
• Working professionals seeking upskill in ML
• Career switchers aiming for data roles

Basic math and logical reasoning help but are not mandatory; we cover applied concepts needed for ML.

Course Duration

• 3 Months – Intensive (Foundations + Projects)
• 6 Months – Comprehensive (Deep dives + Multiple Projects)

Includes lab sessions, project mentoring and evaluation.

What You Will Learn

• Build Python programs and scripts for data tasks.
• Manipulate and analyze datasets using Pandas & NumPy.
• Visualize insights with Matplotlib & Seaborn.
• Train, evaluate and tune ML models using Scikit-Learn.
• Deliver end-to-end analytics projects and reports.

Career Options After This Course

• Junior Data Scientist / Data Analyst
• ML Intern / ML Assistant
• Reporting & Analytics Executive
• Automation & Scripting roles

We provide interview prep, portfolio review and guidance for internships & entry-level jobs.

Certification

On completion and successful project submission, students receive a Python & Machine Learning Certificate from Kaish Computer Institute. Certificates detail projects completed and skills covered to help with job applications.

How to Apply?

Fill the online registration form and our team will contact you for batch timing, syllabus PDF and admission formalities.

Frequently Asked Questions – Python & Machine Learning

1. Is this course suitable for non-CS students?

Yes. The course is designed for beginners from any background; we cover Python basics before ML topics.

2. Will I get project guidance?

Yes. Each student receives mentoring on capstone projects with instructor feedback and code review.

3. Do you teach deep learning?

We include a short introduction to neural networks and Keras/TensorFlow basics; for full deep learning you can join our advanced track.

4. Are there prerequisites?

Basic computer knowledge and willingness to practice. Familiarity with high-school level math/statistics helps but is not required.

5. Are online classes available?

Yes. Both classroom and online batches are available — contact for current schedule.