Machine Learning Models & Data Analysis Tips | Notehub
Introduction to Machine Learning: Learn how machines use data, algorithms, and experience to make predictions and intelligent decisions.
Abhijeet Singh Rajput
AI Ml
24 Notes
Machine Learning Basics Explained Here - Notehub App
Discover machine learning basics, components and types of learning to improve performance with experience and data
Abhijeet Singh Rajput
Learning Models Types Explained Here - Notehub App
Discover learning models types including supervised, unsupervised, reinforcement and semi-supervised learning models for machine learning
Abhijeet Singh Rajput
Statistics for Machine Learning: Numerical With Solutions
Statistics numericals for ML and Data Science — mean, median, mode, standard deviation, variance, quartiles, and skewness with step-by-step solutions.
Abhijeet Singh Rajput
Linear Regression Analysis & Modeling Techniques | Notehub
Learn linear regression, a machine learning method to predict outcomes by fitting a line to data points, minimizing errors and variance
Abhijeet Singh Rajput
Polynomial Regression Analysis & Modeling Techniques
Learn polynomial regression to capture complex data patterns & make accurate predictions with our expert guide and analysis techniques
Abhijeet Singh Rajput
Logistic Regression: Binary Classification Model | Notehub
Learn logistic regression for binary classification, multiclass problems and performance metrics to improve model accuracy and disease detection
Abhijeet Singh Rajput
SVM: Support Vector Machine Learning - Notehub App
Support Vector Machine (SVM) is a powerful supervised learning algorithm used for classification and regression using optimal hyperplanes.
Abhijeet Singh Rajput
Cross Validation Methods For Machine Learning | Notehub
Learn cross validation techniques to evaluate machine learning models, including hold-out, LOOCV, K-Fold, and stratified K-Fold for better accuracy
Abhijeet Singh Rajput
KNN Classification Algorithm Explained Simply | Notehub
Learn knn classification with simple examples and understand how it works in data science with euclidean distance and voting
Abhijeet Singh Rajput
Bayesian Classifier: Naive Bayes Algorithm for Machine
Learn how to use the Bayesian Classifier, a supervised machine learning algorithm, for classification tasks like spam detection and sentiment analysis.
Abhijeet Singh Rajput
Decision Tree: A Guide to Data Analysis - Notehub App
Learn about decision trees, their types and advantages in data analysis with examples and explanations of classification trees
Abhijeet Singh Rajput
Understanding the ID3 Algorithm for Decision Tree Learning
Learn how the ID3 algorithm works for classification tasks in machine learning, including its recursive splitting and decision tree structure.
Abhijeet Singh Rajput
K-Means Clustering Algorithm Explained - Notehub App
Learn about k-means clustering, a key task in data mining, and its applications in machine learning and pattern recognition
Abhijeet Singh Rajput
DBSCAN Clustering: A Density-Based Approach in Machine
Discover DBSCAN clustering, a powerful unsupervised learning technique for identifying clusters in data with arbitrary shapes and noise. Learn how DBSCAN
Abhijeet Singh Rajput
DBSCAN Clustering Algorithm: A Numerical Solution Explained
Learn how DBSCAN clustering works with a numerical solution, including core, border, and noise points, and how to classify them.
Abhijeet Singh Rajput
Apriori Algorithm: Machine Learning Association Rule
Learn about the Apriori algorithm for association rule learning, its applications and advantages in machine learning and data mining apriori algorithm
Abhijeet Singh Rajput
Artificial Neural Network — Neurons & Activation Functions
Learn how ANNs (Artificial Neural Network) work — from artificial neurons and weights to 7 activation functions like sigmoid and tanh. A complete guide.
Abhijeet Singh Rajput
Perceptron: Simple Decision Maker | Notehub Official
Perceptron forms foundation for neural networks, learn how it works and its role in machine learning with threshold functions
Abhijeet Singh Rajput
Understanding Loss Functions in Machine Learning Models
Learn about loss functions, their importance, and types in machine learning. Discover how loss functions guide model optimization and improve accuracy.
Abhijeet Singh Rajput
Dimensionality Reduction Using PCA in Machine Learning
Dimensionality Reduction In statistics and machine learning, dimensionality reduction is the process of reducing the number of variables under consideratio
Abhijeet Singh Rajput
Decision Tree Algorithm: ID3 Explained with Example
Learn the Decision Tree Algorithm using ID3 with entropy, information gain, formulas, and a step-by-step Play Tennis dataset example in machine learning.
Abhijeet Singh Rajput
Data Preprocessing Techniques for Machine Learning Success
Learn data preprocessing and grid search techniques to improve machine learning model performance, accuracy, and reliability. Essential steps and methods
Abhijeet Singh Rajput
Linear Regression Using Least Squares Method for Data
Learn how to use linear regression with the least squares method to model relationships between variables and make predictions in data science.
Abhijeet Singh Rajput