Pratik Nabriya's repositories
Moving-Average-Crossover-Trading-Strategy-with-Python
A Python script to generate buy/sell signals using Simple moving average(SMA) and Exponential moving average(EMA) Crossover Strategy.
Recommender-System-Collaborative-Filtering-MovieLens
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
StockMarket-Data-Analysis-Vizualization
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.
Exploring-Seaborn-for-Visualization-HandsOn
Exploring various plotting methods available in Seaborn API for statistical data exploration.
Used-Electronics-Price-Prediction-Hackathon
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.
Basics-of-Linear-Algebra-HandsOn-LiveSession
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).
Bollinger-Bands-with-Python
How to use Python for plotting and visualizing Bollinger Bands® and derive insights from it.
Classifying-Clinically-Actionable-Genetic-Mutations-NIPS2017-Kaggle
Using machine learning to classify gene and it's variations and into one of the 9 classes.
Cross-Sell-Prediction-Hackathon
To predict whether the Health insurance policy-holders (customers) from past year will also be interested in Vehicle Insurance provided by the company.
EDA-Habermans-Survival-Dataset
Exploratory Data Analysis on Haberman's Breast Cancer Survival Dataset
Grocery-Sales-Forecast-Hackathon
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.
Human-Activity-Recognition-LSTM
Implementing Recurrent Neural Network (LSTM) solution for recognizing usual human activities like walking, sitting, jogging etc. using Smartphone's sensor data (accelerometer signals).
KNN-DonorsChoose
A machine learning model using brute-force KNN algorithm to predict the approval of project proposal.
LogisticRegression-DonorsChoose
Implementing Logistic Regression classification model to predict whether a teachers' project proposal will be approved or not.
Merchandise-Popularity-Prediction-Challenge
In this hackathon, the challenged to predict the popularity level of the merchandise given the details concerning category, score, and presence of the stores.
MNIST-Data-Visualization-using-tSNE
Visualizing high-dimensional MNIST data using t-distributed Stochastic Neighbor Embedding(t-SNE).
NLP-Multilabel-Tags-Prediction-Hackathon
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.
PCA-from-scratch-for-Dimensionality-Reduction-and-Visualization
Applying Principal Component Analysis technique (from scratch) for data visualization and dimensionality reduction on MNIST dataset.
SQL-on-IMDB-dataset
Using SQLite3 to query on IMDB movies dataset.
SQL-PROBLEMS
This notebook comprises of select SQL problems (Level 1, 2 and 3).
Statistics-Fundamentals-with-Python-SkillTrack-DataCamp
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.
SVM-DonorsChoose
To predict whether a Classroom Project proposal will get approved or not using linear Support Vector Classifiers.
Tracking-Covid19-India-Python-Project
Extracting the latest State-wise data from the official website of Ministry of Health & Family Welfare and turning it into informative visualizations.
tSNE-DonorsChoose
Applying t-SNE technique for Data Visualization of high-dimensional DonorsChoose dataset