Course Description

Keen on the field of Machine Learning? At that point this course is for you!

This course has been planned by two expert Data Scientists with the goal that we can share our insight and assist you with learning complex hypothesis, calculations, and coding libraries in a straightforward way.

We will walk you bit by bit into the World of Machine Learning. With each instructional exercise, you will grow new abilities and improve your comprehension of this difficult yet rewarding sub-field of Data Science.

This course is fun and energizing, and yet, we plunge profound into Machine Learning. It is organized the accompanying way:

Section 1 – Data Preprocessing

Section 2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression

Section 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification

Section 4 – Clustering: K-Means, Hierarchical Clustering

Section 5 – Association Rule Learning: Apriori, Eclat

Section 6 – Reinforcement Learning: Upper Confidence Bound, Thompson Sampling

Section 7 – Natural Language Processing: Bag-of-words model and calculations for NLP

Section 8 – Deep Learning: Artificial Neural Networks, Convolutional Neural Networks

Section 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA

Section 10 – Model Selection and Boosting: k-crease Cross Validation, Parameter Tuning, Grid Search, XGBoost

In addition, the course is pressed with handy activities that depend on genuine models. So not exclusively will you get familiar with the hypothesis, however you will likewise get a few hands-on work on building your own models.

Furthermore, as a little something extra, this course incorporates both Python and R code layouts which you can download and use on your own ventures.

Significant updates (June 2020):

CODES ALL UP TO DATE

Profound LEARNING CODED IN TensorFlow 2.0

TOP GRADIENT BOOSTING MODELS INCLUDING XGBOOST AND EVEN CATBOOST!

Certification

• 44 hours on-demand video
• 75 articles
• 38 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Who This Course is for

• Anybody intrigued by Machine Learning.
• Understudies who have in any event secondary school information in math and who need to begin learning Machine Learning.
• Any middle of the road level individuals who know the nuts and bolts of AI, including the traditional calculations like direct relapse or strategic relapse, however who need to study it and investigate all the various fields of Machine Learning.
• Any individuals who are not that alright with coding but rather who are keen on Machine Learning and need to apply it effectively on datasets.
• Any understudies in school who need to begin a vocation in Data Science.
• Any information investigators who need to step up in Machine Learning.
• Any individuals who are not happy with their activity and who need to turn into a Data Scientist.
• Any individuals who need to make enhanced their business by utilizing amazing Machine Learning instruments.