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Name: Vasi Rahman

Type: User

Bio: Data science | Business Analyst | Visualization | Mathematics

Location: Gurgaon

Blog: https://www.linkedin.com/in/vasi-rahman

Vasi Rahman's Projects

automl-data-munging-assignment

In this assignment, I wrote a function in python to manipulate dates and time values in python, and 2nd question is to write a general function to remove variables in a dataset with pearson correlation >=0.85, so as to deal with multicollinearity effectively.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bigmart-sales-prediction

We have 2013 sales data for 1559 products across 10 stores in different cities at BigMart. Also, certain attributes of each product and store have been defined. In this project, I built predictive models using different machine learning algorithms and compare them based on RMSE and MAE. Using these models, we find out the sales of each product at a particular store, which will help in understanding the properties of products and stores which play a key role in increasing sales.

breast-cancer-diagnostic-classification

In this project, I experimented with various machine learning algorithms on a dataset from Breast Cancer Wisconsin (Diagnostic) Data available on UCI repository and kaggle. This dataset provides various features along with a target variable of diagnosis. I learned how different machine learning techniques can be applied to find the patterns in the data and classify the tumor as benign or malignant. Through this project, I gained a lot of experience in data wrangling, feature engineering and machine learning algorithms, and compare the results obtained on different ML models based on accuracy and ROC-AUC.

cancer-genes-clustering

In this project, we have a dataset of Cancer genes found in different Cancer cell lines/tissues. I tried to clustered the similar cancer genes using hierarchical and k-means clustering in R

coding-interview-university

A complete computer science study plan to become a software engineer.

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep_learning_2018-19

Официальный репозиторий курса Deep Learning (2018-2019) от Deep Learning School при ФПМИ МФТИ

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

hello-world

A repo of Vasi's ML resources

manim

Animation engine for explanatory math videos

mathematics_dataset

This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

movies-similarity-nlp

In this NLP project, I quantified the similarity of movies based on their plot summaries available on IMDb and Wikipedia, then separated them into groups aka clusters. Finally I have created a dendrogram to represent how closely the movies are related to each other.

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