Ramya S Manivannan (ramyasnl)

ramyasnl

Geek Repo

Company:manivannan.ramya@gmail.com

Location:Plano, Texas

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Ramya S Manivannan's repositories

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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ETLmodule8-

Three functions that are combined to pull data from a source and place it in a destination database by doing appropriate transformation. Here the data from Wikipedia movielist , Kaggle movies metadata,ratings.csv are the data source and the data is Transformed by cleaning and combining them and finally it is stored in a Postgres Database.

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Mapping_Earthquakes_with_D3

Using JavaScript and D3 library we traverse and retrieve GeoJSON Earthquake data and tectonic plate data In order to populate the geographical map we also used JavaScript Leaflet Library along with Mapbox API

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MOD12BellybuttonBio

To cater the growing population and to reduce the carbon emission we are in a place to find an alternative to meat Combining plant based protein and the microorganism which makes us feel the taste of meat we can successfully create a plant based meat alternative In search of the beef tasting microorganism we sample the bellybutton bacterial species of people across the country and created an interactive visualization to display the top ten species of them

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Plan_My_Trip

In this remote working world where we are all stressed out unwinding ourselves by travelling to new places can be an option This project can help you choose the destination according to your weather preference

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Unsupervised-learning

This technique is used when there is no known output Using only the input data we process the data Used K Means Clustering Algorithm and Principle Component Analysis

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complete-javascript-course

Starter files, final projects, and FAQ for my Complete JavaScript course

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data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.

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Data-Structures-and-Algorithm-Patterns

Data Structures and Algorithms Patterns that I followed ,implemented in Python

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DataScienceResources

Open Source Data Science Resources.

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ds-cheatsheets

List of Data Science Cheatsheets to rule the world

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learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

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learn-python3

Jupyter notebooks for teaching/learning Python 3

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learning_new

can be deleted after few days not important

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ML-For-Beginners

12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all

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numpy

The fundamental package for scientific computing with Python.

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Pre-Model

In this repository, there is a module that I have compiled that allows us to adapt the dataset to the machine learning model before creating the machine learning model. - Variables with categorical data - Variables with numeric data - Variables with categorical but high cardinality data - Variables that contain numeric but categorical data - General information about the dataset - Categorical variables analysis - Numerical variables analysis - Target variable analysis - Analysis of target variables with categorical variables - Analysis of target variables with numerical variables - Correlation analysis - Outliers analysis - Local outlier factor - Missing values analysis - Encoding(Label Encoding, One-Hot Encoding, Rare Encoding) - Feature scaling, extraction

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Python

All Algorithms implemented in Python

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python-patterns

A collection of design patterns/idioms in Python

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PYTHON_Practice

Prep programs for beginners

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ramyasnl

Config files for my GitHub profile.

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tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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