within the subject of Machine Learning? Then this course is for you!

This course has been designed by two skilled Data Scientists in order that we are able to share our information and make it easier to be taught complicated principle, algorithms, and coding libraries in a easy manner.

We are going to stroll you step-by-step into the World of Machine Learning. With each tutorial, you’ll develop new expertise and enhance your understanding of this difficult but profitable sub-field of Data Science.

This course is enjoyable and thrilling, however on the similar time, we dive deep into Machine Learning. It’s structured the next manner:

• Half 1 – Data Preprocessing
• Half 2 – Regression: Easy Linear Regression, A number of Linear Regression, Polynomial Regression, SVR, Determination Tree Regression, Random Forest Regression
• Half 3 – Classification: Logistic Regression, Ok-NN, SVM, Kernel SVM, Naive Bayes, Determination Tree Classification, Random Forest Classification
• Half 4 – Clustering: Ok-Means, Hierarchical Clustering
• Half 5 – Affiliation Rule Learning: Apriori, Eclat
• Half 6 – Reinforcement Learning: Higher Confidence Sure, Thompson Sampling
• Half 7 – Pure Language Processing: Bag-of-words mannequin and algorithms for NLP
• Half 8 – Deep Learning: Synthetic Neural Networks, Convolutional Neural Networks
• Half 9 – Dimensionality Discount: PCA, LDA, Kernel PCA
• Half 10 – Mannequin Choice & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

Furthermore, the course is filled with sensible workout routines which can be primarily based on real-life examples. So not solely will you be taught the idea, however additionally, you will get some hands-on follow constructing your personal fashions.

And as a bonus, this course contains each Python and R code templates which you’ll be able to download and use by yourself tasks.

Vital updates (June 2020):

• CODES ALL UP TO DATE
• DEEP LEARNING CODED IN TensorFlow 2.0
• TOP GRADIENT BOOSTING MODELS INCLUDING XGBOOST AND EVEN CATBOOST!