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Machine Learning Using Python

Course Description

Module 1: Introduction to Machine Learning & Python

  • What is Machine Learning?
  • Types of ML: Supervised, Unsupervised, Reinforcement Learning
  • Setting Up Python for ML (Anaconda, Jupyter, Google Colab)
  • Overview of ML Libraries: NumPy, Pandas, Matplotlib, Scikit-learn

Module 2: Data Preprocessing & Feature Engineering

  • Data Collection & Cleaning
  • Handling Missing Values & Outliers
  • Feature Scaling & Normalization
  • Encoding Categorical Variables
  • Feature Selection & Dimensionality Reduction (PCA)

Module 3: Supervised Learning – Regression Models

  • Linear Regression
  • Multiple & Polynomial Regression
  • Decision Tree & Random Forest Regression
  • Model Evaluation (R², MAE, RMSE)

Module 4: Supervised Learning – Classification Models

  • Logistic Regression
  • k-Nearest Neighbors (KNN)
  • Decision Tree & Random Forest Classification
  • Support Vector Machine (SVM)
  • Naïve Bayes Classifier
  • Model Performance Metrics (Confusion Matrix, ROC-AUC)

Module 5: Unsupervised Learning

  • k-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • Association Rule Learning (Apriori, Eclat)

Module 6: Neural Networks & Deep Learning (Intro)

  • Basics of Neural Networks
  • Introduction to TensorFlow & Keras
  • Building a Simple ANN

Module 7: Model Optimization & Hyperparameter Tuning

  • Cross-Validation Techniques
  • Grid Search & Random Search
  • Handling Overfitting & Underfitting

Module 8: Real-World Applications & Deployment

  • NLP & Sentiment Analysis
  • Image Classification with CNN
  • Model Deployment with Flask/Streamlit

Module 9: Capstone Projects & Certification Prep

  • End-to-End ML Project
  • Resume & Interview Preparation

Course Curriculum

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Krishna Kumar

Founder, AICT PVT LTD, IoT & Embedded System Academic Trainer, Data Scientist

I am a web developer with a vast array of knowledge in many different front end and back end languages, responsive frameworks, databases, and best code practices

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This Course Fee:

₹8500 ₹10500

Course includes:
  • img Level
      Expert
  • img Duration 50h
  • img Lessons 0
  • img Quizzes 0
  • img Certifications Yes
  • img Language
      English Hindi
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