archishman2002 Goto Github PK

all_positive_numbers_in_a_range

amazon-bestselling-book-analysis

This project analyses 550 books (2009-2019) on Amazon. Dataset includes genre, user rating, reviews, and price. Visualizations include genre distribution, author popularity, and book characteristics. Libraries used: NumPy, Matplotlib, Seaborn, and Pandas. Dataset categorized into fiction (45.6%) and non-fiction (54.4%) based on Goodreads.

area_of_a_circle_from_radius

awesome-llm

Awesome-LLM: a curated list of Large Language Model

cervical-cancer-classification

I have designed this cervical cancer detection model ResNet-50 which has 48 Convolution layers along with 1 MaxPool and 1 Average Pool layer. While the original Resnet had 34 layers and used 2-layer blocks, other advanced variants such as the Resnet50 made the use of 3-layer bottleneck blocks to ensure improved accuracy and lesser training time.

chart-representation-algorithm

complex-dataset-visualisation

covid-19-time-series-forecasting

This is my college mega project assigned to me and my teammate - Aayush Choudhary on our final semester of B.Tech. The project title was "COVID 19 TIME SERIES FORECASTING USING XGBOOST AND ARIMA MODEL (HYBRID)". There is also a research paper prepared for this project.

dataset-creation---event-expert-assessment-models

events-recommender-service

This repository holds the code for a ML model on "Events Recommender Service" where the model takes various parameters, proficiencies and levels as input and then extracts recommendations of events for learning of an user based on those inputs.

gemini-and-chatgpt---api-keys-and-asking-questions

Use Gemini and ChatGPT to learn from two capable teachers Use Google's latest model release, Gemini, to teach you what you want to know and compare those with ChatGPT's responses. The models are specifically prompted not to generate extra text to make it easier to compare any differences.

gfg-potd

Here are all my solutions for the GFG POTD.

gfg-potd-1

A collection of C++ codes for Geeks for Geeks Problem of the Day

gnn-implementation-using-cora-dataset-planetoid-root-

my-first-gen-ai-model

This is my first Generative AI model trained with 1000 epochs and batch size 64.

my_py_turtle_design

My first python turtle graphics using Py3.

natural-language-query-agent

You’ll build a Natural Language Query Agent over some sample data. The purpose of this project is to demonstrate your ability to work with data, research techniques commonly used to solve such tasks and implement a trimmed down version of the approach to answer simple natural language queries.

non-recursive-traversal

personalised-learning-path---synthetic-dataset-creation

potd-questions

GFG potd solutions

print_letters_in_decreasing_order_of_frequency

programs-recommender-service

This repository holds the code for a ML model on "Programs Recommender Service" where the model takes various parameters, proficiencies and levels as input and then extracts recommendations of programs…

pythonprogram_for_fibonaccinumbers

pyygame-community-hosting

real-estate-dataset-for-algo-training

rest-and-grpc-implementation

reverse-everything---c

sgd-problem-solving

skin-cancer-classification

Training of neural networks for automated diagnosis of pigmented skin lesions is hampered by the small size and lack of diversity of available dataset of dermatoscopic images. I tackle this problem by releasing the HAM10000 ("Human Against Machine with 10000 training images") dataset. The final dataset consists of 10015 dermatoscopic images.

sudoku-solving