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Use Unsupervised, Supervised and Reinforcement Learning techniques to gain an edge in trading Stocks, Crypto, Forex...
Rating: 4.69014
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
Learn Artificial Intelligence by Building 14 practical Machine Learning and Deep Learning Projects with Python !
Rating: 4.5
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
Ideas on Machine Learning & Linear Regression using scikit-learn in Python and predicting the positive cases for COVID19
Rating: 4.2
Learn Python, Time Series Model Additive, Multiplicative, AR, Moving Average, Exponential, ARIMA models
Rating: 4.15
Machine learning with many practical examples. Regression, Classification and much more
Rating: 3.9
This tutorial teaches Machine learning with Python from scratch using project based approach.
Rating: 3.9
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
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