Nigeria e commerce segmentation using machine learning

Nigeria e commerce customers behaviour is all about the behaviours of Nigerians towards e commerce in general, this projects gives us an insight to determine wether e commerce in Nigeria is on the rise or it is declining

jumia oriamo products sentiments analysis and predictions

This projects I clean out the reviews of customers who patronise a product from jumia, employing extensively the use of nltk library, the tool help me to filter positive and negative reviews, then from sklearn import the use of train test split and use logistics regression to predict the target va

Nigeria car price predictions

This task is to predict the car prices of cars in Nigeria and more importantly by using the most important features, the brand of the cars because brands typically has varying prices

Profit segment analysis (data analysis)

This task is basically about products that customers tends to gears towards, in a more simpler sense products that perform wells and the customers behaviour that influence the profitability of such products

Bitcoin price predictions

Bitcoin prices are highly unstable and so it is imperative to predicts its price despites its unstable which is of course caused by external factors, we will look at how prices will turn out in the nearest future

Predictions of household with electricity in Nigeria

Electricity is a common problem in Nigeria, it is really indecisive for me as a Nigerian to ascertain wether there have been a significant improvements over the years, in this project with features that are relatable to Nigeria as a whole, we will predict households that will acess Electricity.

loan eligibility prediction

This projects is to ascertain those that are eligible for loan using such features as marital status and so on, we dive into the data of previous customers in an establishment to ascertain wether they will be eligible for loan in the future

Netflix stock price predictions

This projects is about the stock price of Netflix , it will give investors the right decision catalyst on investment into Netflix stock market

Dogecoin forecasting project using ARIMA

This projects is useful in predicting the future price of dogecoin and also the visualisation of moving average, which is very paramout in price action analysis

movie recommendations

This very short project is about utilising an algorithm system to recommend movies to customers using their watch history

Disease outcome prediction

This projects is basically about the outcome of disease in individuals using features such as past medical history. This is useful in medical diagnosis

wine quality prediction

This is a project about wine quality predictions

Countries unemployment rate prediction

Unemployment is indeed a world issue and many policies has been implemented by government to combat this issue,this projects that I have gracefully work on will give up an insights how the world policies and emerging technology affect Unemployment

Customers segment analysis

This project is about ascertaining the behaviours of customers to ascertain the best products suited for them

Final sentiment analysis

This projects is about filtering a reviews and projects the dominant positive and negative reviews and also a visualisation of the most used words

Language detection with machine learning

This projects is basically about detecting language from clustters of language spoken by customers, a useful project that I enjoying laying my skills on as it is a useful tool for establishment with foreign customers

Students grade prediction

This project is basically about predcting student grade using such features such as hours of study and so on

Football players analysis

OK let's dive into the world of sport, it is no secret that football players are well paid but that varies in league , club and most importantly players performance, this projects is basically about predicting players using the above features using machine learning

player win and looses prediction

As a fan of sports especially basket ball I find this project thrilling when I was working on it, this projects is basically about the prediction of wins and losses of clubs using features of past performances

Customers segmentation and recommendations

This project is about the analysis of customers towards products and thereby making recommendations based on such behaviours

sales by advertising predictions

This projects is about how various advertising platforms affects sales, this is a simple projects using linear regression

Etherum price predictions

This projects is about etherum price behaviour and it is to ascertain whether the price will rise or will fall, we dive into data analysis, EDA, feature engineering and machine learning.

Solana price predictions in ARIMA time series

This projects is about using the sarimax model to predict the price of a cryto currency called sarimax, we did data analysis. Visualisation, EDA and machine learning using Time series analysis

Nigeria crude oil price predictions

This is rather a simple projects, first of all I start with understanding the data, data analysis and visualisation and finally predicting the target variable using linear regression

Nigeria spotify music recommendations

In this project I did some data cleaning, visualisation and some analysis and then for the recommendation I use some machine learning libaries called cosine similarity, count vectorizer to train the data and TSNE all from sklearn

Amazon product reviews

In this project, I start by importing the necessary libraries, cleaning the data, did some visualisation using nlp by utilizing the nltk library, import the sklearn library to test and train our model, did predictions and use confusion matrix to evaluate our predictions

Gender based salary prediction

This projects, first I did some cleaning, exploration, data visualisation and then I use the scikit learn library, sklearn train test split to split the data to test and train model, then I use linear regression,xgbregressor, random forest for better prediction accuracy

Indian diabetes prediction using ANN

First of all in this project, I start with data analysis, data preprocessing, train and test my data for model bulding using train test split, assign dependent and independent variables, scale the data, build the model with classifier, fit the model, perform predictions and rescalling.

LinkedIn review data analysis

Here is this project I read my data, perform some exploration data analysis and did some data visualisation and also employ the use of stopwatch for more meaningful analysis of most frequently used words.

Apple fitness analysis

First I read the datasets using pandas, then by the means of python perform some data analysis and analyse each features of the data and primarily the target feature which is the energy burnt