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Updated by ajay patidar on Sep 14, 2019
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Machine Learning Tutorial Series and learn ML from Scratch

Machine Learning Tutorial - All the Essential Concepts in Single Tutorial - DataFlair

Machine learning tutorials for beginners - Know what is machine learning and learn its concepts from basic to advanced in simple and easy way

Top 9 Machine Learning Applications in Real World - DataFlair

Top 9 Machine Learning Applications For Real time - What are Applications of Machine Learning,Image Recognition,Speech Recognition,Learning Associations

Learn Types of Machine Learning Algorithms with Ultimate Use Cases - DataFlair

Learn about the three different types of machine learning algorithms - supervised, unsupervised & reinforcement learning with use cases of Baidu,Google AQA

Upskill with Top 10 Machine Learning Tools and get Hired - DataFlair

Top machine learning tools that are helping big brands to improve their performance. Scikit-learn, NLTK, PyTorch, SAS, Numpy & many other that you must read

Future of Machine Learning - Why Learn Machine Learning - DataFlair

Future of Machine learning -What is Machine Learning,Machine learning algorithms,applications of Machine learning,machine learning trends,companies using ML

Machine Learning Algorithms Tutorial - Which ML Algorithm is Best? - DataFlair

Machine Learning Algorithms-Types of ML Algorithms: Supervised, Unsupervised, Semi-Supervised, Regression, Instance-based,Regularization, Decision Tree

Advantages and Disadvantages of Machine Learning Language - DataFlair

Learn the Advantages and Disadvantages of Machine Learning Language to know where to use or where not to use ML and also its benefits and limitations

Transfer Learning for Deep Learning with CNN - DataFlair

Transfer Learning-what is transfer learning in deep learning,ways to fine tune the models, pre-trained model and its use,how &when to use transfer learning,

Java for Machine Learning - 10 Powerful Libraries - DataFlair

10 best libraries for machine learning in Java - DL4J - deep learning, ADAMS, JavaML, Mahout, Neuroph, RapidMiner, Weka, JSTAT, ELKI, Stanford CoreNLP

Artificial Neural Networks for Machine Learning - Every aspect you need to know about - DataFlair

Learn everything about neural networks in artificial intelligence. Know what is artificial neural network, how it works. ANN with example and types.

Artificial Neural Network Applications - 4 Real World Applications of ANN - DataFlair

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

Introduction to Learning Rules in Neural Network - DataFlair

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

Introduction to Artificial Neural Network Model - DataFlair

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

Neural Network Algorithms - Learn How To Train ANN - DataFlair

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

Deep Learning Tutorial - What is Neural Networks in Machine Learning - DataFlair

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

20 Deep Learning Terminologies You Must Know - DataFlair

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

Audio Analysis Using Deep Learning - Application & Data Handling - DataFlair

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

Real-Life Applications of SVM (Support Vector Machines) - DataFlair

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

Kernel Functions-Introduction to SVM Kernel & Examples - DataFlair

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 - Techniques, Methods, Components - DataFlair

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

Gradient Boosting Algorithm - Working and Improvements - DataFlair

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

XGBoost Tutorial - What is XGBoost in Machine Learning? - DataFlair

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 - Applied Machine Learning - DataFlair

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

What is AdaBoost Algorithm - Model, Prediction, Data Preparation - DataFlair

What is AdaBoost, AdaBoost Algorithm Model, Ada Boosting Ensemble, Making Predictions & Data Preparation for AdaBoost, AdaBoost Example, adaptive boosting

Deep Learning vs Machine Learning - Demystified in Simple Words - DataFlair

Deep Learning vs Machine Learning - A feature-wise comparison. Learn What is deep learning and machine learning with their future and applications