Programming Tutorials

Sneak peek into 5 best Data Science projects for beginners including code & real-world examples. Also, learn about steps to become data scientist & required programming languages.

Gaussian Mixture Model or GMM is a probabilistic model to represent the normally distributed subpopulation within all over population.Learn implementation & its need

Convolutional Neural Networks are a type of Deep Learning Algorithm. Learn how CNN works with complete architecture and example. Explore applications of CNN

Recurrent Neural Networks (RNNs) are important type of Machine Learning Algorithms. Learn the complete architecture of RNN & understand with applications

Artificial Neural Network Applications - What are Applications of ANN, Handwriting recognition,Travelling salesman,Medical Diagnosis,face & Fraud Detection

Top 5 Learning Rules in Neural Network-Hebbian Learning,Perceptron learning algorithum,Delta learning rule,Correlation Learning in Artificial Neural Network

Artificial neural network model covers Multilayer perceptron network,Radial Basis function,Kohonen network,Multilayer perceptron vs Radial Basis Function

Artificial Neural Network Algorithms to Train ANN- Gradient Descent algorithm,Genetic Algorithm & steps to execute genetic algorithms,Evolutionary Algorithm

Deep Learning Tutorial - Learn what is deep learning and neural networks in Machine learning and various use cases and applications of deep learning

Deep Learning Terminologies-Deep Learning Terms,RNN,Neural networks,learning rate,gradient decsent,activation function,backpropogation,data augmentation

Audio Analysis Using Deep Learning, Introduction to Audio Analysis, Data Handling in Audio Domain, Applications of Audio Processing and audio data analysis

SVM tutorial - Support Vector Machines looks at data & sorts it into one of the two categories.What is SVM and its working with the help of amazing examples

Applications of SVM-face detection,image classification,bioinformatics,Text categorization, Generalized Predictive Control(GPC),Geo & Environmental Sciences

Introduction to SVM Kernel & Kernel Functions-Polynomial,Gaussian,RBF,Laplace RBF,Hyperbolic tangent kernel,Bessel function,ANOVA radial basis,Linear spline

What is Dimensionality reduction- dimension reduction technique, Methods & importance of dimension reduction, Advantages & Disadvantages of Dimensionality

What is Gradient Boosting Algorithm- Improvements & working on Gradient Boosting Algorithm, Tree Constraints, Shrinkage, Random sampling, Penalized Learning

XGBoost Tutorial - What is XGBoost,Why we use XGBoost Algorithms:, Why XGBoosting is good, Learn features of XGBoost: Model, System, Alorithms Features

What is XGBoost Algorithm-Preparation of Data with XGBoost,Building Model using Xgboosting on R,Parameters used in Xgboost,Advanced functionality of xgboost

Clustering is a Machine Learning technique that involves the grouping of data points. Learn about Clustering in machine learning with types .

Learn about MS Excel. It is the most powerful tool to store, manage & analyze various types of data. Learn its applications, features etc.

Workbook has one or more worksheets in Excel. Learn to open, create, close & pin a workbook. See how to convert workbooks to other file types

Learn reason for creation of charts in Excel, its effectiveness and its importance along with the steps for creating the charts from scratch.

Learn how to access microsoft excel online & how they differ from google sheets. See excel online features like comment, add-ons, surveys etc.

Learn about types of numbers in Python & operations. See different integer systems like binary & octal & their conversions from one to other.

Learn about Python strings, their properties and printing methods. See various operations and built-in functions on strings in Python.