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ML Using Python

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20,000.00

Machine Learning with Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis.

8 Sessions
24 Hours



Skills you will master

Statistics
Business Analytics
Data Preprocessing
Regression Modelling
KNN
SVM
Naive Bayes
Decision Trees
Random Forest
Unsupervised Learning
Dimensionality Reduction
Model Selection & Boosting
Natural Language Processing

UPCOMING BATCHES

06
Jan
Weekends
12:30 PM - 03:30 PM
17
Feb
Weekends
07:30 PM - 03:30 PM
10
Mar
Weekends
10:00 AM - 01:00 PM
Mob : +91-9810600764
Address : M8, Lower ground Floor, Sector 14 OLD DLF Gurgaon 122001
Email : info@palin.co.in

20,000.00

Category:
About The Program

Machine Learning using Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing

During this training participants will learn:

and will be going through:

Career Advisor
Vinit Kumar, Consultant
Palin Delivers real world relevance with activities and assignments that helps students build critical thinking and analytic skills that will transfer to other courses and professional life.
Program Description
ML using Python Certification Training not only focus on Statistics, Machine Learning but also helps one gain expertise on applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems, quiz and assignments and scenarios that help you gain practical experience in addressing an automation problem that would either require only Python or Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.
Curriculum
Click Here to Download

   Session 1 - Introduction to Machine Learning

What is Machine Learning, Applications of Machine Learning, Setting up the working environment

   Session 2 - Statistics for Business Analytics

Distributions, Central Limit Theorem, Hypothesis Testing/ Statistical Significance, Vitaly Dolgov's Guest Section

   Session 3 - Data Preprocessing

Importing the Dataset, Handling missing data, Handling Categorical data, Splitting the dataset into training and test dataset, Feature Scaling

   Session 4 - Regression Modelling

Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, Support Vector Regression

   Session 5 - Classification

Logistic Regression, K-Nearest Neighbors (K-NN), Support Vector Machines, Kernel SVM, Naive Bayes Classifier, Decision Tree Classification, Random Forest Classification

   Session 6 - Case Studies

Case Study 1 TITANIC: The Sinking Ship Case Study 2 Election Analysis Stock Market Analysis

   Session 7 - Unsupervised Learning & Dimensionality Reduction

Unsupervised Learning: Clustering – Intuition, K-Means Clustering, Hierarchical Clustering Dimensionality Reduction: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Kernel PCA Model Selection & Boosting: Introduction, What is Overfitting, Bias Variance Tradeoff, K-Fold Cross Validation, Grid Search Bonus Lecture: XGBoost in Python

   Session 8 - Natural Language Processing and Python

Applying ML to Natural Language Processing, NLP with NLTK, Web Scraping and BeautifulSoup, DRILL: Autosummarize News Articles

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Program Highlights
Instructor-led
Instructor led training is the live and interactive training by industry professionals.
Live Case Study
A project undertaken by you in supervision of the trainers will be conducted.
Assignments
Regular assignment leads to a proper revision of your skills.
Lifetime Access
Access to all the recording for the lifetime and avoid notes maintaining chios.
24 X 7 Support
Consultants are available online for proper guidance about the course.
Certification
After successful completion of the training and case study Palin will certify you as Palin certified Data Analyst.
Career Counselor
Avail career guidance and Professional guidance for resume building, unlimited opportunities and interviews.
Certification Preview
Trainers

Highly motivated with leadership skills having Master’s Degree in Statistics. Holds good working experience in different domains like Retail, Banking, Healthcare FMCG, Marketing analytics using SAS, R, Python, STATA.
FAQ's
   Who can go for Machine Learning using Python?
There is a booming demand for skilled data scientists and machine learning with Python professionals across all industries that make this course suited for participants at all levels of experience. We recommend this Python course especially for the following professionals
   What is Machine Learning ??
Machine Learning using Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.
   Pre-requisites for Machine Learning using Python?
There are no tough prerequisites to learn machine learning using python but a candidates should have the basic knowledge of python and data processing
   Is this a classroom training or online?
Palin Analytics offers you both the platforms for the training you can opt either online or classroom.
   Which one is better classroom or online?
Both the training modes are good to get trained. But online training is more better than the classroom training because online trainings are live interactive where you can raise your concerns at any point during the session. Additionally recording of the same session will be provided which you can access anytime anywhere.
   What is the future of Machine Learning using Python?
When it comes to Machine Learning, Python is a great language to master. First of all, it’s a language friendly to beginners — there are certain features in the language that make it easy to get started and develop prototypes quickly.
   What all topics will be covered in Machine Learning using Python?
Introduction to Machine Learning, Data Preprocessing, Regression Modeling, KNN, SVM, Naive Bayes, Decision Trees, Random Forest, Unsupervised Learning - Clustering, Dimensionality Reduction, Model Selection & Boosting, Natural Language Processing and Python
   After the completion of training which company I can apply for?
Almost every organisation which has a large customer base is shifting to Python Analytics. Companies like Amazon, Infosys, TCS, Accenture, IBM, Flipcart, Airtel are highly in need for analytics professionals.
   What is process of Machine Learning Training?
We'll be starting with introduction to machine learning and will be completing end to end analytics using python which covers Regression Modeling, Classifications, Unsupervised Learning with Case Study.
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