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Data Science & Machine Learning

Extract insights from data. Learn statistical analysis, predictive modeling, and machine learning algorithms using Python.

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Syllabus

Data Science & Machine Learning Course

  • Python for Data

    • Pandas for data manipulation
    • NumPy for numerical processing

  • Data Visualization

    • Matplotlib and Seaborn
    • Creating interactive charts with Plotly
    • Exploratory Data Analysis (EDA)

  • Descriptive Statistics

    • Mean, Median, Mode, Variance
    • Probability distributions (Normal, Binomial)

  • Inferential Statistics

    • Hypothesis Testing
    • P-values and Confidence Intervals
    • A/B Testing basics

  • Regression Models

    • Linear Regression
    • Multiple Regression
    • Polynomial Regression
    • Evaluating metrics (RMSE, R2)

  • Classification Models

    • Logistic Regression
    • Decision Trees and Random Forests
    • Support Vector Machines (SVM)
    • Confusion Matrix and F1 Score

  • Clustering

    • K-Means Clustering
    • Hierarchical Clustering
    • DBSCAN

  • Dimensionality Reduction

    • Principal Component Analysis (PCA)
    • Feature selection and extraction techniques

  • Productionizing ML

    • Saving models (Pickle / Joblib)
    • Creating a Flask/FastAPI wrapper
    • Deploying ML endpoints to Heroku/AWS
Data Science & Machine Learning

Course Details

  • Duration6 Months
  • LevelAdvanced
  • Price₹40,000
  • Enrolled75+ Students

Skills Covered:

Data PreprocessingRegression & ClassificationClustering AlgorithmsFeature EngineeringScikit-Learn & Pandas
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