Dhrumil Gohel's repositories
Python-project-Scripts
This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo
Competitive-Programming-Basics
Let's brainstorm :)
Mini-Python-Utilites
This repository contains utilities that are often used in web development.
Predicting-Temperature-Using-Time-Series-Analysis
I have worked on this project as part of my exploration of machine learning algorithms. I have understood the deep concept behind Arima-Model and Auto-Arima-Model. Also, this notebook contains data cleaning and data visualization things which make things easier to understand.
Covid-19_Data_Visualization
Contains basics of Data-Visualization with a comparison of different graphing libraries of python and data analysis using maps.
Data-Science-Essentials
This repository contains topics that are prerequisites for any Data Science domain exploration. It contains mathematical operational libraries, graph plotting libraries, and geographical plotting maps with data.
Predict-Price-of-Airlines-Industry
Data preprocessing of raw airline data and predicting prices through various different regression algorithms. Also dumping the model and reusing it for new data.
Predicting-Password-Strength-Using-NLP
Exploring Natural Language Processing by predicting password strength. Explored the TF-IDF algorithm and implemented it for data preprocessing. Will implement the ML algorithm soon :)
Predicting-Stock-Market-Price-Using-Time-Series-Analysis
Exploring machine learning algorithms and approaches. I have implemented the famous ARIMA approach for time series analysis of stock price.
GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Predicting-Stock-Market-Using-Headlines
Predict whether a stock price will increase based on headlines on a specific day. Data is Wrangled and Merged for modeling. The bag of words approach is used to vectorize textual data. A combination of NLP and ML models like RanfomForestClassifier is used to predict final results, plus the Naive Bayes approach with NLP to predict the results.
Py-Games
This Repository containes mini python games which i have created for the fun.
Sentiments-Prediction-Using-NLP
Predicting customer sentiments from feedbacks for amazon. While exploring NLP and its fundamentals, I have executed many data preprocessing techniques. In this repository, I have implemented a bag of words using CountVectorizer class from sklearn. I have trained this vector using the LogisticRegression algorithm which gives approx 93% accuracy. I have found out the top 20 positive and negative feedback words from thousands how feedbacks. Also after processing this much I have automated the whole process with one function so that it can be used as generic for many machine learning algorithms. I have also tested another algorithm called DummyClassifier which gives an accuracy of around 84%. After that, I have executed the famous algorithm which is TF-IDF for NLP. I have combined TF-IDF with LogisticRegression which gives almost 93% accuracy but deep insights. Also, while working with data has solved the problem of imbalanced data through RandomOverSampler class from imblearn library.
Streamlit-Multi-Page-Apps
I have integrated all streamlit apps on which I have worked on. This single Streamlit app has multiple apps in it so that i can navigate all apps from one app.