phanee16 Goto Github PK

-comparative-analysis-of-boosting-algorithms-for-autism-detection-using-genome-data-

This project involves analyzing genome data to identify genetic variations associated with autism and using machine learning algorithms such as random forest, GBM, Adaboost, and XGBoost to detect autism from genetic markers. The project includes comparing the performance of these algorithms.

-revolutionizing-fashion-classification-with-cnn-a-deep-learning-approach-to-enhance-clothing-categ

This project uses deep learning to classify clothing items in the Fashion-MNIST dataset, with a focus on accuracy and performance evaluation using various techniques.

-web-application-for-analyzing-nyc-collision-data-

Using Python, Streamlit, PyDeck, and GCP, we created a web app for analyzing NYC collision data. We extracted data from NYC Open Data, analyzed it with BigQuery, and visualized results with Looker Studio. The app provides insights for stakeholders to help improve road safety in NYC.

add-binary-leetcode

Adding two numbers and giving the output in binary form

admission_prediction_pysaprk

application-of-power-method-to-matrices-

Using power method to find dominant Eigen values for a nxn matrix

auto-data-analysis-predicting-car-mileage

bash-example

basic_bokeh

blackrock

boston-data

boston-data-analysis

caesar-cipher-hackerrank-solution

car_price_prediction_pyspark_ml

chinook-database--queries

Chinook database SQL queries

climbing-the-leaderboard

colorization

common-linux-commands-data-engineering

component-library-claim-apache

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

coursera-introduction-to-data-science-in-python

crime-data-analysis

Crime is an integral aspect of our society; whether as a victim or an offender, everyone has been witness to a crime. In our project, we analyzed crime data, and I have chosen the "Chicago Criminal dataset report," which contains crime episodes in Chicago from 2001 to the present. We looked at crime patterns over time, crime hotspots.

cutting-metal-surplus

deep-learning-with-pytorch-object-localization

"Deep-Learning-with-PyTorch-Object-Localization" is a project that harnesses the power of deep learning and PyTorch to achieve precise object localization in images. Explore the cutting-edge techniques and enhance your computer vision skills with this hands-on project.

defanging-an-ip-address

diabetes_prediction_ml_pyspark

enhancing-gaming-with-sarsa-algorithm-grid-based-reinforcement-learning

The project is about teaching an agent to navigate a grid environment using reinforcement learning and SARSA algorithm, with rewards and penalties for reaching certain positions and colliding with obstacles. It includes a GridEnvironment class, SARSA_Agent function, and a render function to display the learning process.

etl_data_pipeline_using_apache_airflow_and_kafka

fetch_data_engineer

final-value-of-variable-after-performing-operations

finnstats

For detailed tutorial and data science job vacancies visit https://finnstats.com