[ Machine Learning,Deep Learning, CNN, DCGAN, Python, Java, Algorithms]
What you'll learn
Python Programming Basics For Data Science
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.
Algorithm Analysis For Data Scientists
KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step
Deep Learning -Handwritten Digits Recognition[Step by Step][Complete Project ]
Deep Convolutional Generative Adversarial Networks (DCGAN)
Java Programming For Data Scientists
Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia
Developing a CNN From Scratch for CIFAR-10 Photo Classification
Requirements
Computer & Internet Connection


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