Discover @Mitty530 Open Source projects

Mamadou oury Diallo (@Mitty530)

Mitty530

Stars
16
Global Rank 735,430 (Top 26 %)
Registered almost 5 years ago
Most used languages

Jupyter Notebook
45.5 %

Java
9.1 %

TSQL 9.1 %

R
9.1 %

C++
9.1 %

Python
9.1 %

C
9.1 %
Location 🇦🇪 United Arab Emirates
Country Total Rank 952
Country Ranking

TSQL 6

R
19

C
134

Jupyter Notebook
142

C++
212

Java
438

Python
814

Python_Simple_Porject

Providing simple code of the python. it can be assignments or small Project.

C_Programming_Code

Giving a sample code for C Programming and sample Assignments

Concurrent_Programming

Concurrent Programming using Java

Real_Time_System_

This Repository is some basic applications built using Java Concurrency

R_Programming

Providing Sample R code and Assignments Sample

DataBase_Security

This Repository is the implementation of database security by using encryption and procedures

Final_Year_Project

Jupyter Notebook

Deep_Learning_Small_Proejct

Jupyter Notebook

Big_data_Analytics

Using Different Machine Learning Algorithms to discover the hidden patterns in a giving dataset

Jupyter Notebook

Natural_Language_Processing-NLTK-

This is program thought at the university at APU which help the students to have the basic of NLP

Jupyter Notebook

C-_Programming

Implementing C++ Programming to solve Assignments Question and sample Projects

Guinean-companies-on-LinkedIn-

Here are the details of the company available in LinkedIn based in Guinea 🇬🇳. it includes the company names , address including the longitude and latitude, headquarter, founded and so on..

Prompt_engineering_Training

Prompt Engineering workshop for students.github.io

Omnilytics_Challenge

Providing hidden pattern on the Omnilytics_Challenge Assess the three trends in trends1.csv, which is performing best. Elaborate on how you defined "best performance". 2. Quantify the performance over the last year - to establish what proportion of demand has changed. 3. Look at the predictions.csv file - there are three fits for each trend, comment on which you find to be best. 4. Quantify these predictions into an assessment of how you would expect the demand to change

Jupyter Notebook