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Shivakumar Mazhuvan's Projects

applied-statistics icon applied-statistics

Creating this repository to brief out as a blog on what I am reading about Applied Statistics

basic-python icon basic-python

Some mini projects using python with reference from Siraj Raval Youtube channel

cognitive-class-ai icon cognitive-class-ai

They address the skills shortage in emerging technologies, including data science, AI, big data, cloud computing and blockchain.

datacamp icon datacamp

Enrolled in DataCamp on this date, will showcase what I learnt in DataCamp in this repo

fradulent-transaction-prediction icon fradulent-transaction-prediction

Built a logistic regression model using Scikit-learn to predict fraudulent transactions by training it on a kaggle dataset. Before training the model, created visualizations of the data using the Seaborn library.

gl_pgp_aiml_mum_jul19 icon gl_pgp_aiml_mum_jul19

Greatlearning PGP AIML Mumbai July 2019 Assignments, Labs, Projects, Capstone for which grades have been published

health-insurance icon health-insurance

Checking statistical evidence to make valuable decisions of insurance business like charges for health insurance

linear-algebra icon linear-algebra

Creating this repository to brief out as a blog on what I am reading about Linear Algebra

nlp-assignments icon nlp-assignments

Implementing a simple sequential NLP model on IMDb data set as a part of PGP assignment

product-recommendation icon product-recommendation

A popularity-based model and a collaborative Filtering model were used and evaluated to recommend top-10 products for a user

sql-imdb icon sql-imdb

SQL Queries on various constraints over IMDb dataset

start-here-guidelines icon start-here-guidelines

Lets Git started in the world of opensource, starting in the Zero To Mastery's opensource playground. Especially designed for education and practical experience purposes.

stock-prediction icon stock-prediction

To build 3 different types of regression lines to predict stock prices using Python, then print out the prediction for the best performing one

twitter-sentiment-analysis icon twitter-sentiment-analysis

Sentiment Analysis, or Opinion Mining, is a Natural Language Processing (NLP) sub-field that attempts to define and extract views within a specified text. The purpose of sentiment analysis is to assess a speaker / writer's attitude, feelings, assessments, attitudes and feelings based on computational subjectivity therapy in a text.

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