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Data science online training At Vepsun Technologies ( Weekend live classes)

Aug 01, 2020 - Oct 03, 2020
Data science online training At Vepsun Technologies ( Weekend live classes)

Time Sat Aug 01 2020 at 09:00 am to Sat Oct 03 2020 at 12:00 pm

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Online

Data science online training At Vepsun Technologies ( Weekend live classes) Data science online training At Vepsun Technologies ( Weekend live classes)
Data science online training At Vepsun Technologies ( Weekend live classes)

About this Event

Contact us : 9035353007/9036363007

Visit us :www.vepsun.in



Data scientists are responsible for discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals.

Module 1: Introduction to Python :


Concepts of Python programming

Configuration of Development Environment

Using the Python Interpreter

Numbers and Strings

Module 2: More on Python:


Tuples and Lists

Functions

Control Flow and Loops

Dictionaries

Module 3: Datascience Fundamentals :


Introduction to Datascience

Real world use-cases of Datascience

Walkthrough of data types

Datascience project lifecycle

Module 4: Introduction to NumPy:


Basics of NumPy Arrays

Mathematical operations in NumPy

NumPy Array manipulation

NumPy Array broadcasting

Module 5: Data Manipulation with Pandas :


Data Structures in Pandas-Series and DataFrames

Data cleaning in Pandas

Data manipulation in Pandas

Handling missing values in datasets

Hands-on: Implement NumPy arrays and Pandas DataFrames

Module 6: Data Visualization in Python :


Plotting basic charts in Python

Data visualization with Matplotlib

Statistical data visualization with Seaborn

Hands-on: Coding sessions using Matplotlib, Seaborn packages

Module 7: Exploratory Data Analysis :


Introduction to Exploratory Data Analysis (EDA) steps

Plots to explore relationship between two variables

Histograms, Box plots to explore a single variable

Heat maps, Pair plots to explore correlations

Perform EDA to explore survival using titanic dataset

Module 8: Introduction to Machine Learning :


What is Machine Learning?

Use Cases of Machine Learning

Types of Machine Learning - Supervised to Unsupervised methods

Machine Learning workflow

Module 9: Linear Regression :


Introduction to Linear Regression

Use cases of Linear Regression

How to fit a Linear Regression model?

Evaluating and interpreting results from Linear Regression models

Predict Bike sharing demand

Module 10: Logistic Regression :


Introduction to Logistic Regression

Logistic Regression use cases

Understand use of odds & Logit function to perform logistic regression

Predicting credit card default cases

Module 11: Decision Trees & Random Forest :


Introduction to Decision Trees & Random Forest

Understanding criterion(Entropy & Information Gain) used in Decision Trees

Using Ensemble methods in Decision Trees

Applications of Random Forest

Predict passenger survival using Titanic Data set

Module 12: Model Evaluation Techniques :


Introduction to evaluation metrics and model selection in Machine Learning

Importance of Confusion matrix for predictions

Measures of model evaluation - Sensitivity, specificity, precision, recall & f-score

Use AUC-ROC curve to decide best model

Applying model evaluation techniques to Titanic dataset

Module 13: Dimensionality Reduction using PCA :


Unsupervised Learning: Introduction to Curse of Dimensionality

What is dimensionality reduction?

Technique used in PCA to reduce dimensions

Applications of Principle component Analysis (PCA)

Optimize model performance using PCA on SPECTF heart data

Module 14: K Nearest Neighbours :


Introduction to KNN

Calculate neighbours using distance measures

Find optimal value of K in KNN method

Advantage & disadvantages of KNN

Classify phishing site data using close neighbour technique

Module 15: Naive Bayes Classifier :


Introduction to Naive Bayes Classification

Refresher on Probability theory

Applications of Naive Bayes Algorithm in Machine Learning

Classify spam emails based on probability

Module 16: K-means Clustering :


Introduction to K-means clustering

Decide clusters by adjusting centroids

Find optimal 'k value' in K-means

Understand applications of clustering in Machine Learning

Segment hands in Poker data and segment flower species in Iris flower data

Module 17: Support Vector Machines :



Introduction to SVM

Figure decision boundaries using support vectors

Identify hyperplane in SVM

Applications of SVM in Machine Learn



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Tickets

Tickets for Data science online training At Vepsun Technologies ( Weekend live classes) can be booked here.

Ticket Information Ticket Price
General Admission Free
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About The Host: Vepsun provides comprehensive and cost-effective training for individuals looking to expand their IT skills.
Website Link: http://www.vepsun.in
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Event Information

Date & Time

Aug 01, 2020 - Oct 03, 2020
Add to Calendar

Date & Time

Sat Aug 01 2020 at 09:00 am to Sat Oct 03 2020 at 12:00 pm
Add to Calendar

Location

Online

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