syedmiran-38 Goto Github PK

followers: 34.0 following: 53.0 repos: 56.0 gists: 0.0

Name: Syed Miran Hussain

Type: User

Company: Google DSC

Bio: Google DSC Lead 2023 - 24 | Aspiring Data scientist | Entrepreneur | Working on Deep Learning

Location: Hyderabad

💫 About Me:

I am a third-year Computer Science and Data Science student, currently leading the Google Developer Student Clubs in 2023. My primary focus and enthusiasm revolve around deep learning, a subset of artificial intelligence. This field's intricacies, from neural networks to data analysis, captivate me. I'm determined to explore its potential applications in solving real-world challenges and contribute to the ongoing advancements in deep learning.

🌐 Socials:

💻 Tech Stack:

📊 GitHub Stats:

✍️ Random Dev Quote

🔝 Top Contributed Repo

😂 Random Dev Meme

Syed Miran Hussain's Projects

30_days_js_programs

30-Day JavaScript Programming Challenge! It enhanced my coding skills with a daily dose of JavaScript challenges for an entire month.

ai_lab_programs

These programs were done in AI Lab

airports_insight

Explore global airport data with this GitHub repository. Analyze geographical distribution, altitude variations, and more for insights into the aviation industry

amazon_prime_eda

Exploring and visualizing a diverse dataset of shows/movies using various plots and charts for insightful analysis.

bike_insights_hub

Embarked on a data-driven adventure with Kaggle's bike dataset, leveraging pandas and seaborn for deep EDA.

car-classification-with-random-forest

This repository features a Random Forest Classifier for categorizing cars as 'DEMO,' 'NEW,' or 'USED' with 97% accuracy. The dataset encompasses diverse features like year, cylinders, and price. Explore the notebook for data cleaning, insightful visualizations, and the machine learning model.

cars_dataset_pandas

A brief analysis on Cars DataSet and answered some Questions based on it.

covid_19_pandas

A beginner friendly project on Covid 19 data and answered few questions based on it

credit-score-prediction

This project focuses on the development of a credit score prediction model using machine learning techniques. A good credit score is essential for various financial transactions, including obtaining loans and credit cards. Predicting credit scores accurately is crucial for both lenders and borrowers.

daa-lab

I have completed the DAA (Design and Analysis of Algorithms) lab programs in my lab for practice and uploaded them to this repository upon completion.

django_webapp

A responsive website was developed during a college workshop using Django in the Visual Studio Code (VSCode) environment. Bootstrap was also employed as part of the website development process.

eduanalytix

Here, we unravel the secrets of student performance, employ advanced statistical methods, and visualize captivating insights that can transform the landscape of education.

employee_data

Employee Attrition Prediction with Machine Learning

european_cars_eda

Performed exploratory data analysis (EDA) on European cars dataset, including data cleaning and visualizations such as box plots, histograms, scatter plots, and word cloud.

food_delivery_time_predication

Predicts the delivery time using machine learning techniques based on delivery person's age, ratings, and distance, implemented in Python with scikit-learn

forbes_billionaries_2022

A small analysis with Visualisation on Forbes List of billionaires of 2022 and Answered some questions on it!

hackerank-solutions

I have successfully solved the HackerRank problems independently.

health-insurance-cost-prediction

Predicting health insurance costs with machine learning

health_insurance_premium_prediction

Linear regression model using sklearn for predicting health insurance premiums.

icc_worldcup_2011

A data analysis and complete visualisation on ICC world cup 2011 which was held in India.

india_cencus_2011

A beginner friendly Questions were answered using Pandas!

iphone_sales_analysis

A sales analysis and visualization on iPhones through Flipkart India.

ipl_auction_2023

A basic EDA on IPL 2023 auction using Basic Python Libraries

iris_dataset

The Iris dataset is a widely used dataset for classification tasks, and K-Nearest Neighbors (KNN) is a popular algorithm for such tasks. In this project, we use scikit learn library to analyze the Iris dataset using KNN model.

java_programs_lab

This is my personal repository for Java programs done by me in my college lab.

laptop_price_predictor

Welcome to our joint Laptop Price Prediction project, developed by @Saniyaaahh and me ! Utilizing Linear Regression, our model accurately forecasts laptop prices. The user-friendly Flask deployment ensures seamless and reliable price estimates.