Ramya S Manivannan's repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
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.
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
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
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
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
complete-javascript-course
Starter files, final projects, and FAQ for my Complete JavaScript course
data-scientist-roadmap
Toturials coming with the "data science roadmap" picture.
Data-Structures-and-Algorithm-Patterns
Data Structures and Algorithms Patterns that I followed ,implemented in Python
DataScienceResources
Open Source Data Science Resources.
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
learn-python3
Jupyter notebooks for teaching/learning Python 3
learning_new
can be deleted after few days not important
ML-For-Beginners
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
numpy
The fundamental package for scientific computing with Python.
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
Python
All Algorithms implemented in Python
python-patterns
A collection of design patterns/idioms in Python
PYTHON_Practice
Prep programs for beginners
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.