What You’ll Discover in Machine Learning A-Z Hands-On Python & R In Data Science
Machine Learning A-Z Hands-On Python & R In Data Science
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Are you interested? Machine Learning? You should take this course!
Two professionals designed this course. Data Scientists are here to help you understand complex theory and algorithms.
We will guide you step-by–step through the World of Machine Learning. You will learn new skills and gain a better understanding of this complex but lucrative sub-field. Data Science.
This course is both fun and thrilling, but it also provides a deep dive into some important topics. Machine Learning. It is structured in the following manner:
Download it immediately Machine Learning A-Z Hands-On Python & R In Data Science
Part 1 Data Preprocessing
Part 2: Regression: Simple, Multiple, Linear, Multilinear Regressions and Polynomial.
Part 3 – Classification: Logistic regression, SVM and Kernel SVM. Naive Bayes. Decision Tree Classification. Random Forest Classification.
Part 4 – Clustering – K-Means and Hierarchical Clustering
Part 5 – Association Rule Learning: Apriori, Eclat
Part 6 – Reinforcement Learning: Thompson Sampling Upper Confidence Bound
Part 7: Natural Language Processing: The Bag-of Words model and NLP algorithms
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
The course also includes practical exercises that are inspired by real-life situations. This course will teach you the theory and allow you to build your own models.
As an added bonus, the course includes both Python R Code templates that you can download and then use in your own projects.
Important updates (June 2020):
CODES UP TO DATE
DEEP LEARNING CODED INTENSORFLOW 2.0
TOP GRADIENT BOOSTING MODELS INCLUDING XGBOOST EVEN CATBOOST
This course is designed for the following:
Download it immediately Machine Learning A-Z Hands-On Python & R In Data Science
Anybody interested in Machine Learning.
Students with math knowledge at the minimum level and who are eager to learn more Machine Learning.
Anyone at an intermediate level who is familiar with machine learning basics, including the algorithms used for logistic regression or linear regression. But who wants to explore more of it and learn about all of the other fields. Machine Learning.
Anyone who is not comfortable with coding, but is interested in it. Machine Learning It is possible to easily apply it to datasets.
All college students who wish to get a job. Data Science.
Anyone who is interested in advancing as a data analyst Machine Learning.
Anyone who is unhappy with their current job and wants to be a professional. Data Scientist.
People who are looking to increase the value of their business through powerful marketing strategies Machine Learning tools.
 Here’s what you’ll get in Machine Learning A-Z Hands-On Python & R In Data Science
IMPORTANT: This is it. “Machine Learning A-Z Hands-On Python & R In Data Science” It is totally Downloadable Available to you immediatelyIn If your link is broken, we will renew it as soon as possible. We appreciate your patience.
