Projects

🔗 Visualize in Tableau 👩‍💻 Source Code Description End to end data analyst project from gathering data programatically using the Kaggle API, through data exploration, assessment and manipulation using the pandas library in Python, to data visualization in Tableau. Data Acquisition The data collected from kaggle London bike sharing dataset. Data Preparation Data downloaded programatically through API of kaggle using python. Data manipulation used for - specifying new column name making humidity percent value mapping weather and season name casting data types Saving the final data in excel format....

🔗 Certification Description It took nearly 5 months to complete 8 data science projects. From the first project to the last, I learned about various aspects and tools of data science. Furthermore, I’ve experimented with several components of the project locally for my own enjoyment. This covers: ✅ Exploratory Data Analysis ✅ Data Wrangling ✅ Data Visualization ✅ Work with Imbalanced data using resampling ✅ Python OOP ✅ MongoDB ✅ SQL...

👩‍💻 Source Code Description Convolutional Neural Network (CNN) was used to classify 12 distinct fish species, and core data augmentation significantly improved model performance. Datasets Local Fish: 269 images Catla = 18, Cyprinus carpio = 50, Grass carp = 11, Mori = 70, Rohu = 73, Silver = 47 Shah, Syed Zakir Hussain ; Rauf, Hafiz Tayyab; lali, IkramUllah; Bukhari, Syed Ahmad Chan; Khalid, Malik Shahzaib; Farooq, Muhammad ; Fatima, Mahroze (2019), “Fish-Pak: Fish Species Dataset from Pakistan for Visual Features Based Classification”, Mendeley Data, V3, doi: 10....

👩‍💻 Source Code Description Numerous Machine Learning algorithms were applied to detect the six basic ekman’s emotions from Bangla text. The emotions were anger, surprise, disgust, enjoyment, fear, and sadness.

👩‍💻 Source Code This app predicts the Boston House Price! App Fetures: Takes input from user Predict the price with Machine Learning Algorithm (Random Forest Regressor) Shows Feature importance based on SHAP values WebApp Overview Feature Importance