Machine Learning A-Z: Hands-On Python & R In Data Science
4.5 /5- Offered byUDEMY
Machine Learning A-Z: Hands-On Python & R In Data Science at UDEMY Overview
Machine Learning A-Z: Hands-On Python & R In Data Science
at UDEMY
Master Machine Learning on Python & R
Total fee | ₹12,800 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Machine Learning A-Z: Hands-On Python & R In Data Science at UDEMY Highlights
Machine Learning A-Z: Hands-On Python & R In Data Science
at UDEMY
- 41 hours on-demand video
- 31 articles
- Full lifetime access
- 5 downloadable resources
- Certificate of Completion
- SkillsFuture Credit eligible
More than 7h of learning time required for the course
Read more
Machine Learning A-Z: Hands-On Python & R In Data Science at UDEMY Course details
Machine Learning A-Z: Hands-On Python & R In Data Science
at UDEMY
Skills you will learn
Who should do this course?
- Anyone interested in Machine Learning.
- Students who have at least high school knowledge in math and who want to start learning Machine Learning.
- Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
- Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
- Any students in college who want to start a career in Data Science.
- Any data analysts who want to level up in Machine Learning.
- Any people who are not satisfied with their job and who want to become a Data Scientist.
- Any people who want to create added value to their business by using powerful Machine Learning tools
What are the course deliverables?
- Master Machine Learning on Python & R
- Handle specific topics like Reinforcement Learning, NLP and Deep Learning
- Build an army of powerful Machine Learning models and know how to combine them to solve any problem
- Handle advanced techniques like Dimensionality Reduction
- Make robust Machine Learning models
- Make accurate predictions
- Know which Machine Learning model to choose for each type of problem
- Make powerful analysis
- Create strong added value to your business
More about this course
- This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
- 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
Machine Learning A-Z: Hands-On Python & R In Data Science at UDEMY Curriculum
Machine Learning A-Z: Hands-On Python & R In Data Science
at UDEMY
Data Preprocessing
Regression
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Support Vector Regression (SVR)
Decision Tree Regression
Random Forest Regression
Evaluating Regression Models Performance
Classification
Logistic Regression
K-Nearest Neighbors (K-NN)
Support Vector Machine (SVM)
Kernel SVM
Naive Bayes
Decision Tree Classification
Random Forest Classification
Evaluating Classification Models Performance
Clustering
K-Means Clustering
Hierarchical Clustering
Association Rule Learning
Apriori
Eclat
Reinforcement Learning
Upper Confidence Bound (UCB)
Thompson Sampling
Natural Language Processing
Deep Learning
Artificial Neural Networks
Convolutional Neural Networks
Dimensionality Reduction
Principal Component Analysis (PCA)
Linear Discriminant Analysis (LDA)
Kernel PCA
Model Selection & Boosting
Model Selection
XGBoost
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K
Kalpesh gawde
Machine Learning A-Z: Hands-On Python & R In Data Science
Offered by UDEMY
5
Learning Experience: I took this course to make my skills stronger and understand the concepts and the logic as I am a data science student and it required me to understand the machines and their need and how to use them. This course helped me with tools such as R and Python
Faculty: The faculty is fully experienced and they teach from the industry perspective and the uses in the real world and they even conduct live doubt sessions
This course was conducted by an industry-level person who actually works in this field and the concepts and the techniques taught in this course are very precise and on to the point
Course Support: Yes it really supported my machine learning journey and my data science journey as I brushed up my skills and gain more knowledge about it
Reviewed on 2 Jan 2024Read More
D
Daiva
Machine Learning A-Z: Hands-On Python & R In Data Science
Offered by UDEMY
4
Learning Experience: I started learning at Udemy with my first purchased course MACHINE LEARNING, this is so good but the guidance is not up to the mark, however, the teaching is so good and the platform is very friendly and I learned new skills from this platform
Faculty: teaching is so good in this session but I personally feel that man-to-man interaction should be there once in a while
This course is so good and the structure of this course is very attractive and easy to understand, anyone can learn here even if you do not have any knowledge about machine learning
Course Support: I learned many strategies for understanding machine learning and algorithms, especially known algorithm
Reviewed on 9 Sep 2023Read More
M
MANEM PRAKWAN
Machine Learning A-Z: Hands-On Python & R In Data Science
Offered by UDEMY
4
Learning Experience: linear regression,logistic regression, nlp, deep learning
Faculty: the faculty was really good
Curriculum was relevant and comprehensive
Course Support: No career support provided
Reviewed on 3 Jun 2022Read More
S
Shivcharan B
Machine Learning A-Z: Hands-On Python & R In Data Science
Offered by UDEMY
5
Learning Experience: Learning experience was good
Faculty: Instructors taught well
Not complex but interesting
Course Support: Career support was helpful
Reviewed on 13 May 2022Read More
L
LAKSHMANAN N
Machine Learning A-Z: Hands-On Python & R In Data Science
Offered by UDEMY
5
Learning Experience: Machine learning from scratch
Faculty: Instructors taught well
Curriculum was relevant and comprehensive
Course Support: No career support provided
Reviewed on 18 Feb 2022Read More
View All 5 Reviews
Machine Learning A-Z: Hands-On Python & R In Data Science
at UDEMY
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