pratiknabriya Goto Github PK
Name: Pratik Nabriya
Type: User
Bio: Data Scientist
Location: Pune
Name: Pratik Nabriya
Type: User
Bio: Data Scientist
Location: Pune
This notebook consists of Code walk-through for Live Session on topic "Basics of Linear Algebra for AI & Machine Learning conducted by Applied AI Course (appliedaicourse.com).
How to use Python for plotting and visualizing Bollinger Bands® and derive insights from it.
Using machine learning to classify gene and it's variations and into one of the 9 classes.
To predict whether the Health insurance policy-holders (customers) from past year will also be interested in Vehicle Insurance provided by the company.
Exploratory Data Analysis on Haberman's Breast Cancer Survival Dataset
Exploring various plotting methods available in Seaborn API for statistical data exploration.
Given the daily sales of a grocery shop recorded over a period of almost 2 years, the objective as a data scientist is to build a machine learning model that can forecast the sales for the upcoming 3 months.
Implementing Recurrent Neural Network (LSTM) solution for recognizing usual human activities like walking, sitting, jogging etc. using Smartphone's sensor data (accelerometer signals).
A machine learning model using brute-force KNN algorithm to predict the approval of project proposal.
Implementing Logistic Regression classification model to predict whether a teachers' project proposal will be approved or not.
In this hackathon, the challenged to predict the popularity level of the merchandise given the details concerning category, score, and presence of the stores.
Visualizing high-dimensional MNIST data using t-distributed Stochastic Neighbor Embedding(t-SNE).
A Python script to generate buy/sell signals using Simple moving average(SMA) and Exponential moving average(EMA) Crossover Strategy.
Given the abstracts for a set of research articles, the task is to predict the tags for each article included in the test set. The research article can possibly have multiple tags.
Applying Principal Component Analysis technique (from scratch) for data visualization and dimensionality reduction on MNIST dataset.
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
Using SQLite3 to query on IMDB movies dataset.
This notebook comprises of select SQL problems (Level 1, 2 and 3).
This comprehensive Statistics skill track offered by DataCamp includes Statistics fundamentals, Parameter estimation and Hypothesis testing, Linear modelling, Statistical simulation and concludes with several real-world Case studies.
Using Python to extract, perform data analysis & visualizations, and derive insights from the historical day-to-day price-volume data of various stocks registered on National Stock Exchange(NSE) of India.
To predict whether a Classroom Project proposal will get approved or not using linear Support Vector Classifiers.
Extracting the latest State-wise data from the official website of Ministry of Health & Family Welfare and turning it into informative visualizations.
Applying t-SNE technique for Data Visualization of high-dimensional DonorsChoose dataset
Given the factors that can influence the price of a used device, the objective was to build a machine learning model that can predict the price of used electronic devices.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.