Learn All the Skills to Become a Data Mining & Machine Learning Scientist [2021]

What you'll learn

Data mining & Machine Learning - [A -Z] Comprehensive Training with Step by step guidance
Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest)
Unsupervised Learning - Clustering, K-Means clustering
Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it.
Deep Convolutional Generative Adversarial Networks (DCGAN)
KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step
Java Programming For Data Scientists
Python Programming Basics For Data Science
Algorithm Analysis For Data Scientists
Web Development for Data Scientists
Data Visualization
500+ Artificial Intelligence Projects with source
40 Machine Learning Algorithms with source code and guided tutorial 00:00