Embark on a comprehensive machine learning journey with this tutorial series designed to make complex concepts accessible and enjoyable. Explore a wide range of machine learning algorithms, from fundamental regression and classification techniques to advanced neural networks, through engaging whiteboard animations and hands-on Python labs. Dive into practical implementations using popular frameworks like Keras and Anaconda, gaining proficiency in applying data science techniques to real-world datasets. Master essential topics including linear regression, logistic regression, K-nearest neighbors, support vector machines, clustering methods, dimensionality reduction, and various neural network architectures. No prior knowledge of Python or statistics is required, making this an ideal starting point for aspiring data scientists and machine learning enthusiasts looking to build impressive applications and enhance their employability in the field.
Overview
Syllabus
Fun and Easy Machine Learning Course in Keras and Python (Coupon Code in Description).
Linear Regression - Fun and Easy Machine Learning.
Logistic Regression - Fun and Easy Machine Learning.
K - Nearest Neighbors - KNN Fun and Easy Machine Learning.
Support Vector Machine (SVM) in 7 minutes - Fun Machine Learning.
Naïve Bayes Classifier - Fun and Easy Machine Learning.
Hierarchical Clustering - Fun and Easy Machine Learning.
Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning.
Eclat Association Rule Learning - Fun and Easy Machine Learning Tutorial.
Artificial Neural Networks - Fun and Easy Machine Learning.
Convolutional Neural Networks - Fun and Easy Machine Learning.
Recurrent Neural Networks LSTMs and Vanishing & Exploding Gradients - Fun and Easy Machine Learning.
Taught by
Augmented Startups
