NdAbdulsalaam

bitcon-prediction-arima-garch-models

For this project, I used Bitcoin's daily closing market price dataset from Jan 2012 to March 2021 Kaggle. This work's main objective includes explaining how to analyze a time series and forecast its values using ARIMA and GARCH models.

Chicago_divvy_analysis

In this project, I analyzed the prosper load data, studied the trends and concluded that monthly income, loan amount and borrower's rate significantly affect the prosper rating and a good predictors of delinquency.

Ecommerce-fullstack-PHP

Git-GitHub-Crash-Course

Harvard-CS50

Practice and assignment code for the course; Introduction to computer science by Harvard university on edx

ML-Eathquake-Damage-Prediction

I developed a model to predict the severity of earthquakes in Kavrepalanchok. The purpose is to obtain the best model and depth for the prediction and to emphasize the various steps needed to build such a model.

Predict_apartment_prices-in-mexico

In business analysis, the Apriori algorithm can be used to analyze transactional data and identify items frequently purchased together, such as pairs of items or sets of items. This information can inform marketing strategies, such as cross-selling or bundling products.

Prosper_loan_eda

In this project, I analyzed the prosper load data, studied the trends and concluded that monthly income, loan amount and borrower's rate significantly affect the prosper rating and a good predictors of delinquency.

Staff-management-app

WeRateDogs_twitter_analysis

The primary focus of this project revolves around proficient data wrangling techniques. Leveraging the Request library and Tweepy, I conducted comprehensive web scraping operations. Additionally, I engaged in succinct exploratory and explanatory analyses, extracting valuable insights and proposing strategies to enhance tweet retweeting metrics.

NdAbdulsalaam/Predict_apartment_prices-in-mexico

In business analysis, the Apriori algorithm can be used to analyze transactional data and identify items frequently purchased together, such as pairs of items or sets of items. This information can inform marketing strategies, such as cross-selling or bundling products.

NdAbdulsalaam/Git-GitHub-Crash-Course

NdAbdulsalaam/Ecommerce-fullstack-PHP

NdAbdulsalaam/ML-Eathquake-Damage-Prediction

I developed a model to predict the severity of earthquakes in Kavrepalanchok. The purpose is to obtain the best model and depth for the prediction and to emphasize the various steps needed to build such a model.

NdAbdulsalaam/Prosper_loan_eda

In this project, I analyzed the prosper load data, studied the trends and concluded that monthly income, loan amount and borrower's rate significantly affect the prosper rating and a good predictors of delinquency.

NdAbdulsalaam/Staff-management-app

NdAbdulsalaam/TechQuest

NdAbdulsalaam/WeRateDogs_twitter_analysis

The primary focus of this project revolves around proficient data wrangling techniques. Leveraging the Request library and Tweepy, I conducted comprehensive web scraping operations. Additionally, I engaged in succinct exploratory and explanatory analyses, extracting valuable insights and proposing strategies to enhance tweet retweeting metrics.

NdAbdulsalaam/youtube-downloader

NdAbdulsalaam/Chicago_divvy_analysis

In this project, I analyzed the prosper load data, studied the trends and concluded that monthly income, loan amount and borrower's rate significantly affect the prosper rating and a good predictors of delinquency.

NdAbdulsalaam/COPD-Death-Rate-US-Uganda

NdAbdulsalaam/Ecommerce-backend-NodeJS

NdAbdulsalaam/Meta-Fullstack

NdAbdulsalaam/Mystery-in-Fiftyville

Welcome to my SQL research project! I used SQL to analyze and investigate a large dataset to find patterns, trends, and insights that might take time, if not impossible, to discover from the raw data.

NdAbdulsalaam/NdAbdulsalaam.github.io

NdAbdulsalaam/Power-Learn-Project

NdAbdulsalaam/Python-Crash-Course

NdAbdulsalaam/SAIL-LAB

NdAbdulsalaam/Superstore_EDA-Profit_Prediction

In this project, I conducted EDA and built a linear regression model to gain insights into the superstore data and make informed decisions about marketing and sales strategies.

NdAbdulsalaam/Todo-App

NdAbdulsalaam/freeCodeCamp

NdAbdulsalaam/LangChan-LLM

NdAbdulsalaam/NdAbdulsalaam

Welcome to my portfolio

NdAbdulsalaam/Random-Quote-App

NdAbdulsalaam/reusable_codes

Find your life saving code solutions and also have some funs

NdAbdulsalaam/CardioCare

NdAbdulsalaam/FingerPrint

NdAbdulsalaam/Iwoye

NdAbdulsalaam/quick-actions

NdAbdulsalaam/vendNear