Free Download Machine Learning in Python: From Zero to Hero in 10 Hours, with this course you will have the option to Machine Learning & Data Science in Python with real life projects. Source codes included.. It contains 75 recordings. Remember that numerous understudies are tried out this course Machine Learning in Python: From Zero to Hero in 10 Hours, so don't hold on to download it presently, it's totally free. You can start learning Machine Learning in Python: From Zero to Hero in 10 Hours by clicking the download link below.
Before you can start learning from this course explained in English (US) you need to have To be able to operate computer, A lot of curiosity!, Some knowledge of Python programming and high school level math will be an asset.
Machine Learning in Python: From Zero to Hero in 10 Hours is targeting for people that have interset in Students and professionals who want to become Machine Learning Expert or Data Scientist, IT Professionals, Mathematicians, Statisticians, Machine learning enthusiasts, Project Managers, Data Analytics, and Business Intelligence Professionals, Python developers.
Finally you will learn how to Hands-on explanation of every major Machine Learning techniques, Model Development, Deployment and Monitoring, Regression: Simple, Polynomial, and Multinomial, Classification: Logistic Regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree, Naive Bayes, Ensemble Modeling: Voting Classifier, Bagging, Boosting, Stacking, Random Forest, Implementation of every concepts explained in the course Source codes are made available to you for your use, Data Visualization with MatPlotLib and Seaborn, Use train, test and Cross Validation to choose and tune data, Feature Engineering (Reduce Noise, Outliers) and Data Preprocessing, Practical examples of How to trade-off between Bias, Variance, Irreducible errors using Ensemble Learning model and Bagging, Boosting, Understand how to implement Machine Learning at massive scale, Understand math and statistics behind Machine Learning models.