Study Materials:
Introduction to Machine Learning
Top 10 Applications of Machine Learning
Different Types of Machine Learning
Supervised Learning
Hypothesis Space and Inductive Bias
Evaluation and Cross-Validation
Linear Regression
Decision Tree
Learning Decision Tree
Overfitting
K-nearest neighbour
Feature Selection
Feature Extraction
Collaborative Filtering
Bayesian Learning
Bayesian Network
Logistic Regression
Support Vector Machine (SVM)
SVM : The Dual Formulation
SVM: Maximum Margin with Noise
Non-linear SVM and Kernel Function
SVM: Solution to the Dual Problem
Deep Neural Network
Multilayer Neural Network
Iris Dataset Prediction
Convolutional Neural Networks Architecture and Applications
Artificial Neural Network (ANN)
Artificial Neural Network Applications in the Real World
Recurrent Neural Networks – Deep Learning Fundamentals
XGBoost in Machine Learning – Features & Importance
GBoost Algorithm – Applied Machine Learning
AdaBoost Algorithm For Machine Learning
Agglomerative Hierarchical Clustering
Linear Algebra: Vector Spaces, Subspaces, Orthogonal Matrices, Quadratic Form
For Books → ML Books
For Interview Question And Answer → ML - Question
Programming Code → Programming Codes
Project → ML - Project
6 Machine Learning Project Ideas | Machine Learning Projects
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