Machine Learning Online Training in India

Learn Machine Learning with Python, Data Analysis, Supervised & Unsupervised Learning, and Real-Time Projects

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Machine Learning Online Training

Our Machine Learning Online Training in India by Srihitha Technologies is designed for students, IT professionals, and enthusiasts seeking in-depth knowledge of machine learning. The course covers Python programming, data analysis, visualization, preprocessing, ML algorithms, and advanced machine learning techniques, along with real-time projects.

Course Duration

60 Hours

Machine Learning Course Syllabus

Week 1: Introduction to Python Programming
  • Lists
  • Sets
  • Tuples
  • Dictionaries
Week 2: Python for Data Science
  • Numpy
  • Pandas
  • Advanced Pandas Tricks
  • Exploratory Data Analysis
  • Data Cleaning & Preparation
Week 3: Data Analysis Fundamentals
  • Groupby
  • Aggregate Functions
  • Lambdas
  • Functions & Classes
  • Filter
  • Matrices & Queries
  • Data Frame Operations
Week 4: Data Visualization
  • Pandas for Plotting
  • Types of Charts
  • Univariate, Bivariate, Multivariate Analysis
  • Matplotlib, Seaborn, Plotly
  • Animated Visualizations
  • Geo-Spatial Visualizations
  • Dashboard Creation in Python
Week 5: Data Preprocessing
  • Feature Engineering & Extraction
  • Feature Selection Strategies
  • Correlation & Heatmaps
  • Data Preparation & Manipulation
Week 6: Introduction to Machine Learning
  • Types of Machine Learning
  • Supervised Learning Techniques
  • Regression Analysis: Linear, Lasso, Ridge, Elastic Net
  • Metrics for Regression
Week 7: Classification Algorithms
  • Logistic Regression
  • Decision Trees
  • Random Forests
  • K-Nearest Neighbors
  • Support Vector Machines
  • Naive Bayes
  • AdaBoost
  • Metrics for Classification
Week 8: Unsupervised Learning
  • Clustering Techniques
  • K-Means Clustering
  • Hierarchical Clustering
  • Dimensionality Reduction
  • PCA & LDA
  • Difference between PCA & LDA
Week 9: Advanced Machine Learning Techniques
  • Cross Validation Techniques
  • Grid Search & Hyperparameter Tuning
  • Ensembling Techniques
  • Model Validation Techniques
  • Model Explanation & Interpretation

Career Benefits

  • Work as Machine Learning Engineer, Data Scientist, AI Specialist
  • Hands-on exposure to real-time projects
  • High-demand skillset for Indian & Global IT Markets
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