- What is Machine learning?
- What is Cognitive task?
- Different phases in Machine learning process
- Artificial Intelligence vs machine learning
- Supervised learning in Machine learning
- Unsupervised Learning
- Reinforcement learning
- How to handle missing values?
- Quick guide to correlation coefficient
- Quick guide to feature engineering
- Simple Linear Regression for Machine Learning: A Step-by-Step Tutorial
- Quick guide to Categorical variables in Machine learning
- Label Encoding: A Simple Way to Convert Categorical Data for Machine Learning
- How to use one-hot encoding in machine learning?
- Ordinal encoding: A simple way to convert categorical data for machine learning
- What are outliers in Machine learning?
- How to handle outliers in Data?
- Find and replace Outliers using IQR
- The Significance of Mean to calculate central tendency of data
- Understanding the Different Types of Mean
- Median to represent central tendency
- Mode to represent central tendency
- Standard Deviation: A Measure of Variability
- Variance: A Measure of Data Spread
- Using the Interquartile Range (IQR) to Identify Outliers
- Peak-to-Peak range
- The Importance of Data Normalization in Machine Learning
- How StandardScaler works on a Pandas dataframe?
- Multiple Linear Regression for Machine Learning: A Step-by-Step Tutorial
- How to Evaluate the Performance of a Linear Regression Model?
- What is a residual in Machine Learning?
- Mean squared error (MSE)
- Root Mean Squared Error (RMSE)
- Mean Absolute error (MAE) in Machine Learning
- R-squared (R2) measure in Machine Learning
- Adjusted R-squared in Machine Learning
- Logistic regression In Machine Learning
- K nearest neighbors algorithm In Machine Learning
- Centroid in Machine learning
- K means cluster algorithm
Monday, 10 February 2025
Machine learning for Beginners
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