lakchchayam Goto Github PK

analysis_avacado

Testing, Training dataset of Avocado prices that directly came from retailers and this data set has huge differences of prices. Our work is to predict future prices and also plot variations into the graph

breast_cancer_data

Here I'm building my own algorithm to learn more about how it works. To exemplify classification, I'm going to use a Breast Cancer Dataset, which is a dataset donated to the University of California, Irvine (UCI) collection from the University of Wisconsin-Madison. UCI has a large Machine Learning Repository. The datasets here are organized by types of machine learning often used for them, data types, attribute types, topic areas, and a few others. Very useful both for educational uses, as well as for Machine Learninng algortihm development

data_structure_and_algos

Here I am Implementing DS and Algorithms in Python to see what can be optimized further. Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services. Usually, efficient data structures are key to designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Data structures can be used to organize the storage and retrieval of information stored in both main memory and secondary memory

deep-learning-model-microsoft-dataset-

This repository contains deep learning model trained using Microsoft -Kaggle dataset which contains pictures of cats and dogs.

exoplanet_prediction

Exoplanets are planets beyond our own solar system. Thousands have been discovered in the past two decades, mostly with NASA’s Kepler Space Telescope. These exoplanets come in a huge variety of sizes and orbits. Some are gigantic planets hugging close to their parent stars; others are icy, some rocky. NASA and other agencies are looking for a special kind of planet: one that’s the same size as Earth, orbiting a sun-like star in the habitable zone. The habitable zone is the area around a star where it is not too hot and not too cold for liquid water to exist on the surface of surrounding planets. Imagine if Earth was where Pluto is. The Sun would be barely visible (about the size of a pea) and Earth’s ocean and much of its atmosphere would freeze.

generating_python_transformers

There are several variations of GPT-3, which range from 125 to 175 billion parameters. The different variations allow the model to better respond to different types of input, such as a question & answer format, long-form writing, human language translations (e.g. English to French). The large numbers of parameters make GPT-3 significantly better at natural language processing and text generation than the prior model, GPT-2, which only had 1.5 billion parameters.

google-employers-data

The purpose of this project is to use data transformation and machine learning to create a model that will predict a salary when given years of experience, job type, college degree, college major, industry, and miles from a metropolis.

infinity-3d

“Infinity.3D”, a new open-source tool for the interactive three-dimensional visualization of numerical ensemble weather predictions. The tool has been developed to support weather forecasting during aircraft-based atmospheric field campaigns however, it is applicable to further forecasting, research and teaching activities. This work approaches challenging topics related to the visual analysis of numerical atmospheric model output 3-D visualization, ensemble visualization and how both can be used in a meaningful way suited to weather forecasting. Infinity.3D builds a bridge from proven 2-D visualization methods commonly used in meteorology to 3-D visualization by combining both visualization types in a 3-D context. The issue of spatial perception in the 3-D view and present approaches to using the ensemble to allow the user to assess forecast

ios

📱 Nextcloud iOS app

iosched

The Google I/O 2019 Android App

kafka

Mirror of Apache Kafka

lakchchayam

This Repository contains short discription about me. What do I do. Which technologies I have used so far. What are my research interest. Please have a look at it.

lakchchayam.github.io

mitacs-project

Data Supply Chain : Canadian Public Companies

ng5-http-get-post

object_oriented_to_next_level

postgresql

From Basic to Advance this repository will take you through PostrgreSQL queries to manage database. First, you’ll learn how to query data from a single table using basic data querying techniques, including selecting data, sorting result sets, and filtering rows. Then, you’ll learn about advanced queries such as joining multiple tables, using set operations, and constructing the subquery. Finally, you will learn how to manage database tables, such as creating a new table or modifying an existing table’s structure.

research-papers

This repo contains annotated research papers that I found really good and useful

self_driving_cars

An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all. An autonomous car can go anywhere a traditional car goes and do everything like professionals.

signal-ios

A private messenger for iOS.

tensorflow

An Open Source Machine Learning Framework for Everyone

tkinterpractice

Practicing with Tkinter for Graphical User Interfaces in Python