Free Machine Learning Courses

  4.64 3.9K+ learners 1.5 hrs

Skills: Machine Learning Landscape

  4.62 2K+ learners 1 hr

Skills: Working with Prediction Errors, Understanding Ensemble Methods, Introduction to Bagging and Boosting, Bagging vs Boosting, Practical Demo in Python

  4.62 4.8K+ learners 2.5 hrs

Skills: Linear Regression, Logistic Regression, Naïve Bayes

  4.59 1.2K+ learners 0.5 hr

Skills: Bias, Variance, Trade-off, How to avoid overfitting and underfitting?

  4.56 4.8K+ learners 1 hr

Skills: Data Collection, Statistical Analysis, Probability, Central Limit Theorem, Hypothesis Testing, Chi-Square Test, ANOVA

  4.56 9.8K+ learners 2 hrs

Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

  4.55 1.7K+ learners 1 hr

Skills: Introduction to Sensitivity Analysis, Types of Sensitivity Analysis, How Does Sensitivity Analysis Work?, Key Applications of Sensitivity Analysis, Advantages and Disadvantages, Practical Demonstration in Python

  4.55 12.7K+ learners 2 hrs

Skills: Practical visualization walkthrough, IPL data analysis with Python

  4.51 469K+ learners 1.5 hrs

Skills: NumPy Arrays, NumPy Operations, NumPy Math, Saving & Loading NumPy, Pandas Series, Pandas DataFrame, Pandas Functions (Mean, Median, Max, Min), Data Manipulation, Supervised Learning, Unsupervised Learning, Machine Learning with Python

  4.39 147.1K+ learners 2.5 hrs

Skills: Introduction to Machine Learning, Supervised Machine Learning, Linear Regression, Pearson's Coefficient, Coefficient of Determinant

  4.55 84.8K+ learners 2 hrs

Skills: Python Basics, NumPy, Pandas, Matplotlib, Seaborn, Plotly

  4.46 76.9K+ learners 1 hr

Skills: Learn the fundamentals of machine learning, including supervised and unsupervised learning, regression, and recommendation systems. Join this free machine learning course to apply these skills in real-world business scenarios.

  4.36 54.7K+ learners 1 hr

Skills: Covid Analysis, Analysis of Indian Education System, Project on FIFA Data

  4.58 43.5K+ learners 2 hrs

Skills: Descriptive Statistics, Measures of Dispersion Range and IQR,,Central Tendency and 3 Ms,The Empirical Rule and Chebyshev Rule,Correlation Analysis

  4.49 32K+ learners 1.5 hrs

Skills: Classification (Logistic Regression, Decision Trees, SVM), Regression (Linear, Ridge, Lasso), Clustering (K-means, Hierarchical), model evaluation, cross validation

  4.49 26.2K+ learners 1 hr

Skills: Communication, Interpersonal & Team Collaboration, Leadership & Influence, Motivation, Conflict Resolution, Organizational Analysis, Change Management, Decision-Making, Emotional Intelligence.