Saturday October 14th, 2017 to
Sunday October 15th, 2017,
9:00 AM to 6:00 PM

Zaplon Tech Solutions Pvt Ltd
A-4 Veerdhaval society, Lokmanya colony Paud Road, Kothrud,

Online ticket sales is closed



Syllabus Overview

•  Machine leaning using python

•  1 Month internship with industry project

What will you learn in this Machine Learning course?

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


•  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 - 4999 per person 

**Please carry your laptops for practice purpose**

For more details visit :  

• A convenience fee may be levied.

• Passes cannot be exchanged or refunded.

• Please be at the venue at least 20 minutes before the event to pick up your passes.

• Eventjini enables a transaction between you and the organizers of this event.

• Once a transaction is completed, Eventjini or Eventus Software which owns Eventjini, is not liable to process any refunds under any circumstances.

• For any refunds, grievances, claims and questions related to the event and its execution please contact the event organizer.