Sklearn Test Train Split Courses

Beginner and Advanced Customer Analytics in Python: PCA, K-means Clustering, Elasticity Modeling & Deep Neural Networks

Rating: 4.67647

New to machine learning? This is the place to start: Linear regression, Logistic regression & Cluster Analysis

Rating: 4.64583

Perform Sentiment Analysis on Twitter data by combining Text Mining and NLP techniques, NLTK and Scikit-Learn

Rating: 4.5

Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement Learning in Keras and TensorFlow

Rating: 4.49242

Data Science, Python, sk learn, Decision Trees, Random Forests, KNNs, Ridge Lasso Regression, SVMs

Rating: 4.36486

Learn Python, Numpy, Pandas, Matplotlib, Linear Regression, Algebra, Statistics, Calculus, Projects & Data Visualisation

Rating: 4.30357

Machine Learning, Linear Regression, PCA, Neural Networks, Hyperparameters, Deep Learning, Keras, Clustering, Case Study

Rating: 4.3

Learn Complete Machine Learning Bootcamp with Python. Build 5 Complete Machine Learning Real World Projects with Python.

Rating: 4.21429

Learn Python, Time Series Model Additive, Multiplicative, AR, Moving Average, Exponential, ARIMA models

Rating: 4.15

This tutorial teaches Machine learning with Python from scratch using project based approach.

Rating: 3.9

Machine learning with many practical examples. Regression, Classification and much more

Rating: 3.9

In this course the mathematical concepts of machine learning will be taught to learners, with python in Google Colab

Rating: 3.625

Beginners in Python & R for Data Science: Introduction to Data science and Practical applications of Data Science and ML

Rating: 3.6

Learn about machine learning, deep learning, text analytics using python and tensorflow

Rating: 3.35

Learn the Essential Concepts of the AI like Neural Networks, Classification, Regression and Optimization Using Python.

Rating: 3.25