pratiknabriya Goto Github PK

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Name: Pratik Nabriya

Type: User

Bio: Data Scientist

Location: Pune

Blog: www.linkedin.com/in/pratiknabriya

Pratik Nabriya's Projects

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

exploring-seaborn-for-visualization-handson

Exploring various plotting methods available in Seaborn API for statistical data exploration.

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).

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.

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.

recommender-system-collaborative-filtering-movielens

Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.

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.

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.

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

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.

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