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Kashif Moin's Projects

adventureworksanalysis icon adventureworksanalysis

Transform raw data into professional-quality reports and dashboards to track KPIs, compare regional performance, analyze product-level trends, and identify high-value customers.

amazonfoodreview icon amazonfoodreview

This ML binary classification model uses text handling techniques like stemming, lemmatisation, and stop word removal to classify reviews as positive or negative.

bank-customer icon bank-customer

The machine learning (ML) classification model takes into account previous customer records, age, and tenure in order to predict the status of their accounts. By considering these key factors, the model can accurately determine whether or not a customer's account is still active.

best-football-player icon best-football-player

This regression model predicts the goals scored by the players based on their previous stats and then display the image of best player for future years to come.

black-friday-sale icon black-friday-sale

This is a machine-learning model used for regression analysis. It predicts the purchase amount for upcoming sales based on previous shopping patterns.

date-prediction icon date-prediction

The regression model is designed to forecast the date of payment completion, using trained time period data as input. The model is based on a rigorous methodology and is tailored to deliver accurate and reliable predictions.

digitclassification icon digitclassification

The Convolutional Neural Network is utilized in a Deep Learning model to accurately predict numbers in images. This model is designed to efficiently analyze and process visual data. Through the use of advanced algorithms and image processing techniques, the model is capable of accurately identifying and predicting numbers within images.

electricity-consumption icon electricity-consumption

This regression model uses Global_active_power and Global_reactive_power to predict Consumed_active_energy.

emotiondetection icon emotiondetection

The dataset comprises of grayscale images of faces with a resolution of 48x48 pixels. The images have been aligned to ensure that the face is approximately centred. The objective is to use a deep learning model to classify each face based on the emotion conveyed through the facial expression.

languagetranslator icon languagetranslator

This is a language translator developed using Python and libraries like Tkinter and Googletrans. To use the translator, simply choose the input language and the target language for your text, and the code will do the rest of the work. It's a simple and efficient way to translate text between different languages.

passwordcheck icon passwordcheck

The Python code is designed to facilitate the conversion of a user-provided password into a hash code, followed by an assessment of whether the password has been previously compromised.

portfoliowebsite icon portfoliowebsite

As part of my project, I created a website that uses Python Flask, HTML, and CSS to showcase my certifications, projects, and educational background. The website serves as a comprehensive portfolio of my professional and academic achievements, allowing viewers to better understand my areas of expertise.

textsentimentalanalysis icon textsentimentalanalysis

This binary classification model uses Machine Learning to determine if tweets are positive or negative. The model involves text-handling techniques such as stemming, filtering, stop word removal, and text vectorization.

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