mariyamsoffice
I'm an aspiring Computer Systems Engineer currently working on Machine Learning using Python.
Karachi, Pakistan
Pinned Repositories
agglomerative-clustering
I have implemented Agglomerative Clustering algorithm using Python.
book-recommender
The recommendation system puts together certain users in a group who have read and rated similar books before and recommends books to the users in that group based on the ratings given by the other members of the group. The first section of the code presents the top 50 most popular books on the platform.
convolutional-neural-network
Convolutional Neural Network using Python
ivy
The Unified Machine Learning Framework
linear-regression
I have used Linear Regression to find the correlation between the number of hours certain students studied and the scores they secured. I have later on calculated the Root Mean Squared Error as well as the R2_Score of the model.
logistic-regression
It's a Diabetes Predictor I've built using Logistic Regression. It predicts if a certain individual can have diabetes based on some input parameters, such as BMI, Glucose Level etc. I've evaluated the performance of the model using Accuracy Score, Precision Score, Recall Score, F1 Score and Confusion Matrix.
logistic-regression-naive-bayes
Logistic Regression and Naive Bayes
mariyamsoffice
Config files for my GitHub profile.
movie-recommender
It's a Python based Movie Recommendation System, which recommends movies to the users based on the similarity to previously watched movies. I have solved a machine learning classification problem and evaluated the model's performance using confusion matrix, accuracy score, recall score, precision and f1 score.
stuttering
stuttering
mariyamsoffice's Repositories
mariyamsoffice/linear-regression
I have used Linear Regression to find the correlation between the number of hours certain students studied and the scores they secured. I have later on calculated the Root Mean Squared Error as well as the R2_Score of the model.
mariyamsoffice/logistic-regression
It's a Diabetes Predictor I've built using Logistic Regression. It predicts if a certain individual can have diabetes based on some input parameters, such as BMI, Glucose Level etc. I've evaluated the performance of the model using Accuracy Score, Precision Score, Recall Score, F1 Score and Confusion Matrix.
mariyamsoffice/movie-recommender
It's a Python based Movie Recommendation System, which recommends movies to the users based on the similarity to previously watched movies. I have solved a machine learning classification problem and evaluated the model's performance using confusion matrix, accuracy score, recall score, precision and f1 score.
mariyamsoffice/agglomerative-clustering
I have implemented Agglomerative Clustering algorithm using Python.
mariyamsoffice/book-recommender
The recommendation system puts together certain users in a group who have read and rated similar books before and recommends books to the users in that group based on the ratings given by the other members of the group. The first section of the code presents the top 50 most popular books on the platform.
mariyamsoffice/convolutional-neural-network
Convolutional Neural Network using Python
mariyamsoffice/ivy
The Unified Machine Learning Framework
mariyamsoffice/logistic-regression-naive-bayes
Logistic Regression and Naive Bayes
mariyamsoffice/mariyamsoffice
Config files for my GitHub profile.
mariyamsoffice/stuttering
stuttering