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Machine Learning A-Z™: Hands-On Python & R In Data Science (Updated)

Machine Learning A-Z™: Hands-On Python & R In Data Science Obtain

Study to create Machine Learning Algorithms in Python and R from two Data Science specialists. Code templates included.

Machine Learning A Z™ Hands On Python R
Machine Learning A Z™ Hands-On Python R
What you’ll be taught
  • Grasp Machine Learning on Python & R
  • Have a fantastic instinct of many Machine Learning fashions
  • Make correct predictions
  • Make a strong evaluation
  • Make sturdy Machine Learning fashions
  • Create robust added worth to your corporation
  • Use Machine Learning for private objective
  • Deal with particular matters like Reinforcement Learning, NLP, and Deep Learning
  • Deal with superior methods like Dimensionality Discount
  • Know which Machine Learning mannequin to decide on for every sort of downside
  • Construct a military of highly effective Machine Learning fashions and know-how to mix them to unravel any downside
  • Just a few highschool arithmetic stage.

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):



Who this course is for:
  • Anybody interested by Machine Learning.
  • College students who’ve at the very least highschool information in math and who need to begin studying Machine Learning.
  • Any intermediate stage individuals who know the fundamentals of machine studying, together with the classical algorithms like linear regression or logistic regression, however who need to be taught extra about it and discover all of the completely different fields of Machine Learning.
  • Any people who find themselves not that comfy with coding however who’re interested by Machine Learning and need to apply it simply on datasets.
  • Any college students in school who need to begin a profession in Data Science.
  • Any knowledge analysts who need to stage up in Machine Learning.
  • Any people who find themselves not glad with their job and who need to grow to be a Data Scientist.
  • Any individuals who need to create added worth to their enterprise by utilizing highly effective Machine Learning instruments.
Machine Learning A-Z™: Hands-On Python & R In Data Science Obtain

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