Build an online course that teaches Machine Learning: Python & R in Data Science

Looking to hire a freelancer that can build a professional looking online training course that teaches students how to create Machine Learning Algorithms in Python and R. Perhaps, via Kajabi. Course will teach students: Machine Learning on Python & R intuition of many Machine Learning models robust Machine Learning models Reinforcement Learning, NLP and Deep Learning Handle advanced techniques like Dimensionality Reduction Know which Machine Learning model to choose for each type of problem Build an army of powerful Machine Learning models and know how to combine them to solve any problem Would like course to include: on-demand video articles downloadable resources Certificate of completion learn complex theory, algorithms, and coding libraries in a simple way. step-by-step into the World of Machine Learning and Data Science. course can be completed by either doing Python tutorials, or R tutorials, or both - Python & R. Part 1 - Data Preprocessing Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification Part 4 - Clustering: K-Means, Hierarchical Clustering Part 5 - Association Rule Learning: Apriori, Eclat Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost Each section inside each part is independent. So student can either take the whole course from start to finish or jump right into any specific section include practical exercises that are based on real-life case studies. hands-on practice building models. Python and R code templates which can be download and use on projects.