Pinned Repositories
Ad-Click-Predict
Goal of the project is to predict if a particular user is likely to click on particular ad or not based on his feature.
Airbnb_Data_Analysis
Conducted comprehensive analysis of Airbnb data utilizing advanced Python data manipulation techniques with Pandas and visualized key findings using Matplotlib. Derived actionable insights and recommendations to drive incremental business generation and enhance decision-making processes for optimizing Airbnb listings and user experiences
Anamoly_Detection_Model
Detecting Defected Manufactured Semi-Conductors using Isolation Forest and Local Outlier Factor Algorithms
Banking_system
Banking_System_Project using C++ and OOP
Customer-Segmentation-Kmeans-Clustering
Cutomer-churn-ANN-LR-DTC-RFC
building a deep learning model ANN and building a Supervised Learning Model Logistic Regression to predict the churn and comparing both models
energy-prediction-model-LSTM
House_Price_Predictor_LR_DTR_RFR
Using Linear Regression and Decision Tree Algorithms to predict house prices
Loan_Approval_Prediction
Monthly_Retail_Sales_Forecasting_fpp
fpp: Data for "Forecasting: principles and practice"
wasimhassanshah's Repositories
wasimhassanshah/Airbnb_Data_Analysis
Conducted comprehensive analysis of Airbnb data utilizing advanced Python data manipulation techniques with Pandas and visualized key findings using Matplotlib. Derived actionable insights and recommendations to drive incremental business generation and enhance decision-making processes for optimizing Airbnb listings and user experiences
wasimhassanshah/Anamoly_Detection_Model
Detecting Defected Manufactured Semi-Conductors using Isolation Forest and Local Outlier Factor Algorithms
wasimhassanshah/Banking_system
Banking_System_Project using C++ and OOP
wasimhassanshah/energy-prediction-model-LSTM
wasimhassanshah/Loan_Approval_Prediction
wasimhassanshah/Monthly_Retail_Sales_Forecasting_fpp
fpp: Data for "Forecasting: principles and practice"
wasimhassanshah/Bayesian_Statistics
R packages for Bayesian models
wasimhassanshah/Best_Features_Gamers_Model
wasimhassanshah/Clustering_Mall_Customers
R
wasimhassanshah/Combined_Cycle_Power_Prediction
To develop a predictive model for full-load output power (PE) of Combined Cycle Power Plant usinf Linear Regression Random Forest and XG Boost Algorithms
wasimhassanshah/Credit-Risk-Modelling
Random Forest and SVM Radial is used R
wasimhassanshah/Credit_Card_Fraud_Detection
wasimhassanshah/Depression_Detection_Model
This repository applies Deep Learning techniques for depression detection in text, using LSTM, GRU, BiLSTM, BERT models, and a baseline FFNN. It also includes data visualizations, autoencoder semantics, KMeans clustering, and detailed performance comparisons.
wasimhassanshah/Drugs-Recommendation-Model
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
wasimhassanshah/Electrical_cost_prediction_home_Neural_Network
Home Electrical bill and it's Forecasting using Neural Network
wasimhassanshah/Exploratory-Data-Analysis-On-Electric-Vehicle-Population
The goal of this project is to analyse and visualise the Electric Vehicle Population dataset from Kaggle using Python (Matplotlib, seaborn and plotly).
wasimhassanshah/Fuel_Consumption_Model
Designed a predictive vehicle fuel consumption model to estimate consumption based on various vehicle parameters (sklearn)
wasimhassanshah/IMDB-Movie-Rating-Predictive-Model
tried to predict movie ration using KNN, CART, Random Forest.
wasimhassanshah/Leaf-Disease-Detection-CNN
About This work presents a simple CNN-based technique for early detection of tomato leaf disease using 22948 images from the New Plant Diseases Dataset. The proposed model has a training accuracy of 97.6% and a test accuracy of 93.6%, making it an efficient and effective tool for farmers to identify and mitigate losses due to tomato leaf disease.
wasimhassanshah/Price_Used_Cars
Price Prediction of Used Cars
wasimhassanshah/Purchasing-Intention-Model
classification or clustering and predict the intention of the Online Customers Purchasing Intention
wasimhassanshah/Python
Practice
wasimhassanshah/Quick_Sort
C++ Program for QuickSort
wasimhassanshah/R
R important pkgs
wasimhassanshah/Smart-Grid-Theft-Detection-in-AMI-Model-
a Smart Grid Theft Detection Model for identifying electricity theft in AMI (Advanced Metering Infrastructure) based on customers' consumption patterns using K_means Clustering and ANN (Sklearn, TensorFlow)
wasimhassanshah/Smart_Grid_Fraud_Detection
The aim of this project is the Detection of Fraud in Smart Grids using Machine Learning Techniques, such as: Logistic Regression SVM Decision Trees Random Forests
wasimhassanshah/Smart_Grid_Stability_Model
Predicting Smart Grid Stability with Deep Learning, ANN
wasimhassanshah/Twitter-Sentiment-Analysis
Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
wasimhassanshah/Wasim_Shah_Portfolio
wasimhassanshah/Weekly_sales_Predictor