kopia lustrzana https://github.com/animator/learn-python
1.2 KiB
1.2 KiB
List of sections
- Introduction to scikit-learn
- Binomial Distribution
- Naive Bayes
- Regression in Machine Learning
- Polynomial Regression
- Confusion Matrix
- Decision Tree Learning
- Random Forest
- Support Vector Machine Algorithm
- Ensemble Learning
- Types of optimizers
- Logistic Regression
- Types_of_Cost_Functions
- Clustering
- Hierarchical Clustering
- Grid Search
- K-Means
- K-nearest neighbor (KNN)
- Xgboost
- Artificial Neural Network from the Ground Up
- Introduction To Convolutional Neural Networks (CNNs)
- TensorFlow
- PyTorch
- PyTorch Fundamentals
- Transformers
- Reinforcement Learning
- Neural network regression
- Exploratory Data Analysis