Book Online Tickets for Machine Learning for developers in Pytho, Pune.  [PAID MEETUP/WORKSHOP]
 
 Time : 9 AM to 6 PM
 
 Date : 26th and 27th, Saturday and Sunday
 
 Seats available – 10
 
 Course Fees – Rs. 4999 per person
 
 
 
Syllabus Overview
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Machine Learning for developers in Python

 

  • Machine Learning for developers in Python

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About The Event

 [PAID MEETUP/WORKSHOP]

 

 Time : 9 AM to 6 PM

 

 Date : 26th and 27th, Saturday and Sunday

 

 Seats available – 10

 

 Course Fees – Rs. 4999 per person

 

 

 

Syllabus Overview

 

 • Machine leaning using python

 

 • 1 Month internship with industry project

 

 

 

What will you learn?

 

The workshop is meant to provide you with a solid base to build your machine learning skills. In particular, you will learn to:

 

-Recognize problems that can be solved with Machine Learning
-Select the right technique (is it a classification problem? a regression? needs preprocessing?)
-Load and manipulate data with Pandas
-Visualize and explore data with Matplotlib
-Build regression, classification and clustering models with Scikit-Learn
-Evaluate model performance with Scikit-Learn
-Build, train and serve a predictive model using Python

 

 

 

Workshop day wise Plan

 

 Day 1: Machine learning using Python

 

 Module 1: Theoretical Foundation of Machine Learning

 

 

 

• Overview of Machine Learning

 

• Supervised Learning, Unsupervised Learning

 

• Classification, Clustering & Regression

 

• Phases of ML Project

 

• Data Collection

 

• Data Preprocessing

• Data Visualization

 

• Data Preprocessing

 

• Model Creation

 

• Evaluation and Fine Tuning

 

 

 

Module 2: Data Collection

 

• BeautifulSoup & Scrappy for web collection

 

• Twitter, linkedin, facebook api’s for data collection

 

 

 

Module 3: Data Visualization / EDA

 

 

 

• Using matplotlib & Seaborn for Data visualization for inference

 

• Correlation doesn’t mean causation

 

 

 

Day 2: Machine learning using Python Cont.

 

Module 4: Data Preprocessing

 

 

 

• Using Pandas for Data Preprocessing, Cleaning dataset, filling missing values

 

• Feature engineering

 

 

 

Module 5: Model Creation

 

 

 

• Choosing features for ml model using scikit-learn

 

• Model creation & evaluation

 

• Fine Tuning the model

 

 

 

Module 6: Accuracy & Fine Tuning

 

 

 

• Checking model accuracy

 

• Accuracy parameters

 

• Cross validation

 

• Advanced ml techniques

 

• PCA/LDA

 

• Regularization

 

• Bagging, Boosting

 

 

 

Seats are limited. So pre-book your seat by paying online fees or meet us at our office. For any queries call on 8446065656

 

 

 

Course fee - Rs. 4999/- per person for 2 days workshop

 

 

 

**Please carry your laptops for practice purpose**

 

 

 

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