matzolla

11th_place_solution_economic_wealth_index_prediction

3rd-prize-winner-Microsoft_AIMS-DataScience_hackathon

About the Problem Granular information on economic well being is extremely useful for governments and policy makers. But household surveys that capture this kind of information are expensive and conducted infrequently in many African countries. For this competition we will attempt to create a workaround for this lack of data by building a model able to predict a measure of wealth as measured in household surveys using readily available inputs. Using data from 18 different countries collected at different times, you must correctly predict the cluster-level estimated wealth measures found from surveys in 7 different countries not covered in the training data. A successful model could be useful for filling in the gaps between the more expensive surveys.

7_days_basis_of_ML

AIMS-Data-analysis-web-app

A simple machine learning based app to explore data using streamlit

Face-detection-

Hello world face detection using haarcascade classifier

Gender_Base-Violence-prediction

This challenge calls on you to build a machine learning model that predicts a woman’s level of risk of being victimized by a crime given basic information about her and her life.

LeetCode

Questions and Answers , LeetCode preparatory personal repo

My_kaggle_competitions

This Repository will be about my kaggle competitions

PISE-S.A.R.L-house-price-predictor

This is just a prototype ment for fun!!!, enjoy

StellarGraph_approach_research_paper_classification

matzolla/11th_place_solution_economic_wealth_index_prediction

matzolla/StellarGraph_approach_research_paper_classification

matzolla/LeetCode

Questions and Answers , LeetCode preparatory personal repo

matzolla/PISE-S.A.R.L-house-price-predictor

This is just a prototype ment for fun!!!, enjoy

matzolla/3rd-prize-winner-Microsoft_AIMS-DataScience_hackathon

About the Problem Granular information on economic well being is extremely useful for governments and policy makers. But household surveys that capture this kind of information are expensive and conducted infrequently in many African countries. For this competition we will attempt to create a workaround for this lack of data by building a model able to predict a measure of wealth as measured in household surveys using readily available inputs. Using data from 18 different countries collected at different times, you must correctly predict the cluster-level estimated wealth measures found from surveys in 7 different countries not covered in the training data. A successful model could be useful for filling in the gaps between the more expensive surveys.

matzolla/Face-detection-

Hello world face detection using haarcascade classifier

matzolla/AIMS-Data-analysis-web-app

A simple machine learning based app to explore data using streamlit

matzolla/My_kaggle_competitions

This Repository will be about my kaggle competitions

matzolla/My_Zindi_Competition

Here will be my zindi competitions repo.

matzolla/Sparse_Graph_ALC

matzolla/stark

matzolla/WedOO_ai__RCNN

Update sequentially

matzolla/My_Chatbot_Omicron

Step-by-step implementation of a medical chatbot to investigate some symptoms of the corona Virus

matzolla/My_online_JAVA_class

I'm not best in java but hear is my repository to teach my colleagues, the Java Programming language

matzolla/Reorder_Text

matzolla/SFC_solar-Competition

Here is my personal starter noteboo on the SFC SOLAR challenge of ZINDI

matzolla/AMMI_program

Here will be. a repo for the AMMI courses all the notebooks concerning tututorials will be updated here

matzolla/Cryptocurrency-closing-price-prediction

My solution is ranked 12th/357 data scientist on the public leaderboard

matzolla/matzolla.github.io

matzolla/NLP_Tutorial

This repository contains tutorials and LAB for Regarding the NLP course

matzolla/STEG_fraud_detection_in_electricity_and_gaz_consumption

ZINDI The repository is all about the exploratory_data_analysis for the fraud_detection challenge from energy and gaz consumption counter in tunisia the data is provided by the STEG

matzolla/test-live-coding

matzolla/Cracking_The_ML_interview

matzolla/Git-assignment

matzolla/Papers_reading_and_their_thougts

matzolla/Project_GDA

This repository presents, our modeling of the Gaussian Discriminant Analysis

matzolla/RICE-DISEASE-CLASSIFICATION

matzolla/Log_files_experiments

A repository of log files from experiments reporting results on inference for different datasets mainly `UCF101`,`HMDB51`

matzolla/masakhane-pos

POS for African languages

matzolla/SelectivePrivacyPreservation

[CVPR 2024] Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition