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    machine-learning

    Machine Learning Course

    Machine Learning Tutorial — preprocessing, supervised & unsupervised algorithms, reinforcement learning, forecasting, and model deployment.

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    Curriculum

    Enterprise learning path

    8 modules · 98 lessons

    Start Here

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    1. 1
      Machine Learning Home
      Next up

      Welcome to the Machine Learning Tutorial on TechLearningPRO — a complete, hands-on roadmap from your first dataset to deploying models in production.

    2. 2
      What is Machine Learning?

      What is Machine Learning?

    3. 3
      Types of Machine Learning

      Types of Machine Learning: ML is mainly divided into three core types — supervised, unsupervised, and reinforcement learning.

    1 · ML Pipeline

    0/18 complete
    1. 4
      Data Preprocessing Introduction

      What is Data Preprocessing Introduction?

    2. 5
      ML Workflow

      What is ML Workflow?

    3. 6
      Data Cleaning

      What is Data Cleaning?

    4. 7
      Data Preprocessing in Python

      What is Data Preprocessing in Python?

    5. 8
      Feature Scaling

      What is Feature Scaling?

    6. 9
      Feature Extraction

      What is Feature Extraction?

    7. 10
      Feature Engineering

      What is Feature Engineering?

    8. 11
      Feature Selection Techniques

      What is Feature Selection Techniques?

    9. 12
      Exploratory Data Analysis

      What is Exploratory Data Analysis?

    10. 13
      Exploratory Data Analysis in Python

      What is Exploratory Data Analysis in Python?

    11. 14
      Advanced EDA

      What is Advanced EDA?

    12. 15
      Time Series Data Visualization

      What is Time Series Data Visualization?

    13. 16
      Regularization in Machine Learning

      What is Regularization in Machine Learning?

    14. 17
      Confusion Matrix

      What is Confusion Matrix?

    15. 18
      Precision, Recall and F1-Score

      What is Precision, Recall and F1-Score?

    16. 19
      AUC-ROC Curve

      What is AUC-ROC Curve?

    17. 20
      Cross-validation

      What is Cross-validation?

    18. 21
      Hyperparameter Tuning

      What is Hyperparameter Tuning?

    2 · Supervised Learning

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    1. 22
      Supervised Learning

      What is Supervised Learning?

    2. 23
      Introduction to Linear Regression

      What is Introduction to Linear Regression?

    3. 24
      Gradient Descent in Linear Regression

      What is Gradient Descent in Linear Regression?

    4. 25
      Multiple Linear Regression

      What is Multiple Linear Regression?

    5. 26
      Understanding Logistic Regression

      What is Understanding Logistic Regression?

    6. 27
      Cost Function in Logistic Regression

      What is Cost Function in Logistic Regression?

    7. 28
      Decision Tree in Machine Learning

      What is Decision Tree in Machine Learning?

    8. 29
      Types of Decision Tree Algorithms

      What is Types of Decision Tree Algorithms?

    9. 30
      Decision Tree Regression

      What is Decision Tree Regression?

    10. 31
      Decision Tree Classification

      What is Decision Tree Classification?

    11. 32
      Understanding SVMs

      What is Understanding SVMs?

    12. 33
      SVM Hyperparameter Tuning - GridSearchCV

      What is SVM Hyperparameter Tuning - GridSearchCV?

    13. 34
      Non-Linear SVM

      What is Non-Linear SVM?

    14. 35
      Introduction to KNN

      What is Introduction to KNN?

    15. 36
      Decision Boundaries in KNN

      What is Decision Boundaries in KNN?

    16. 37
      Introduction to Naive Bayes

      What is Introduction to Naive Bayes?

    17. 38
      Gaussian Naive Bayes

      What is Gaussian Naive Bayes?

    18. 39
      Multinomial Naive Bayes

      What is Multinomial Naive Bayes?

    19. 40
      Bernoulli Naive Bayes

      What is Bernoulli Naive Bayes?

    20. 41
      Complement Naive Bayes

      What is Complement Naive Bayes?

    21. 42
      Introduction to Random Forest

      What is Introduction to Random Forest?

    22. 43
      Random Forest Classifier

      What is Random Forest Classifier?

    23. 44
      Random Forest Regression

      What is Random Forest Regression?

    24. 45
      Hyperparameter Tuning in Random Forest

      What is Hyperparameter Tuning in Random Forest?

    25. 46
      Introduction to Ensemble Learning

      What is Introduction to Ensemble Learning?

    3 · Unsupervised Learning

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    1. 47
      Unsupervised Learning

      What is Unsupervised Learning?

    2. 48
      K-Means Clustering

      What is K-Means Clustering?

    3. 49
      Elbow Method for Optimal k

      What is Elbow Method for Optimal k?

    4. 50
      K-Means++ Clustering

      What is K-Means++ Clustering?

    5. 51
      K-Mode Clustering

      What is K-Mode Clustering?

    6. 52
      Fuzzy C-Means Clustering

      What is Fuzzy C-Means Clustering?

    7. 53
      Gaussian Mixture Models

      What is Gaussian Mixture Models?

    8. 54
      Expectation-Maximization Algorithm

      What is Expectation-Maximization Algorithm?

    9. 55
      Dirichlet Process Mixture Models

      What is Dirichlet Process Mixture Models?

    10. 56
      Hierarchical Clustering

      What is Hierarchical Clustering?

    11. 57
      Agglomerative Clustering

      What is Agglomerative Clustering?

    12. 58
      Divisive Clustering

      What is Divisive Clustering?

    13. 59
      Affinity Propagation

      What is Affinity Propagation?

    14. 60
      DBSCAN

      What is DBSCAN?

    15. 61
      OPTICS

      What is OPTICS?

    16. 62
      Principal Component Analysis (PCA)

      What is Principal Component Analysis (PCA)?

    17. 63
      t-SNE

      What is t-SNE?

    18. 64
      Non-negative Matrix Factorization

      What is Non-negative Matrix Factorization?

    19. 65
      Independent Component Analysis

      What is Independent Component Analysis?

    20. 66
      Isomap

      What is Isomap?

    21. 67
      Locally Linear Embedding (LLE)

      What is Locally Linear Embedding (LLE)?

    22. 68
      Apriori Algorithm

      What is Apriori Algorithm?

    23. 69
      Implementing Apriori Algorithm

      What is Implementing Apriori Algorithm?

    24. 70
      FP-Growth

      What is FP-Growth?

    25. 71
      ECLAT Algorithm

      What is ECLAT Algorithm?

    4 · Reinforcement Learning

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    1. 72
      Reinforcement Learning

      What is Reinforcement Learning?

    2. 73
      Markov Decision Processes

      What is Markov Decision Processes?

    3. 74
      Bellman Equation

      What is Bellman Equation?

    4. 75
      Value Iteration Algorithm

      What is Value Iteration Algorithm?

    5. 76
      Monte Carlo Tree Search

      What is Monte Carlo Tree Search?

    6. 77
      Q-Learning

      What is Q-Learning?

    7. 78
      SARSA

      What is SARSA?

    8. 79
      Monte Carlo Methods

      What is Monte Carlo Methods?

    9. 80
      REINFORCE Algorithm

      What is REINFORCE Algorithm?

    10. 81
      Actor-Critic Algorithm

      What is Actor-Critic Algorithm?

    11. 82
      A3C

      What is A3C?

    5 · Semi-Supervised Learning

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    1. 83
      Semi-Supervised Learning

      What is Semi-Supervised Learning?

    2. 84
      Semi-Supervised Classification

      What is Semi-Supervised Classification?

    3. 85
      Self-Training in Semi-Supervised Learning

      What is Self-Training in Semi-Supervised Learning?

    4. 86
      Few-Shot Learning

      What is Few-Shot Learning?

    6 · Forecasting Models

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    1. 87
      ARIMA

      What is ARIMA?

    2. 88
      SARIMA

      What is SARIMA?

    3. 89
      Exponential Smoothing (Holt-Winters)

      What is Exponential Smoothing (Holt-Winters)?

    7 · Model Deployment & MLOps

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    1. 90
      Machine Learning Deployment

      What is Machine Learning Deployment?

    2. 91
      Deploy ML Model using Streamlit

      What is Deploy ML Model using Streamlit?

    3. 92
      Deploy ML Web App on Heroku

      What is Deploy ML Web App on Heroku?

    4. 93
      Gradio for ML Prototypes

      What is Gradio for ML Prototypes?

    5. 94
      Deploy ML Model using Flask

      What is Deploy ML Model using Flask?

    6. 95
      Deploying ML Models as API using FastAPI

      What is Deploying ML Models as API using FastAPI?

    7. 96
      MLOps

      What is MLOps?

    8. 97
      CI/CD in MLOps

      What is CI/CD in MLOps?

    9. 98
      End-to-End MLOps

      What is End-to-End MLOps?