Pinned Repositories
Airbnb-Dynamic-Pricing-Optimization
[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
Amazon-review-scraping-and-sentiment-analysis
Web Scraping the Amazon reviews and performing sentiment analysis.
AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
AutoMorph
Automated Morphometrics: image segmentation, 2D and 3D shape extraction, classification, and analysis
bank-logistic
Batch-Forecasting--Stage-1
Time series forecast for batch ( multiple products)- How code gets scaled from in different stages.
betterlifepsi
Betterlife Intelligent PSI(Purchase, Sales and Inventory) system
Budget-Optimization-in-Ecommerce-using-Market-Mix-Modelling
To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multiplicative, Koyck & Distributive Lag to identify the important KPIs that influence the company revenue and their contributions towards the revenue. The main data set is available below:
KaramKasim's Repositories
KaramKasim/Amazon-review-scraping-and-sentiment-analysis
Web Scraping the Amazon reviews and performing sentiment analysis.
KaramKasim/AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
KaramKasim/betterlifepsi
Betterlife Intelligent PSI(Purchase, Sales and Inventory) system
KaramKasim/compose
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
KaramKasim/Data-Science-Portfolio
Data Science Portfolio
KaramKasim/datascience
Repository to maintain all my clutter
KaramKasim/event-based_vision_resources
KaramKasim/featuretools
An open source python library for automated feature engineering
KaramKasim/Forecasting-of-order-demand-in-warehouses-using-autoregressive-integrated-moving-average.
Forecasting of order demand in warehouses using auto-regressive integrated moving average(ARIMA).
KaramKasim/fraud-detection-using-machine-learning
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
KaramKasim/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
KaramKasim/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
KaramKasim/MachineLearning-FeatureSelection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
KaramKasim/PartKeepr
Open Source Inventory Management
KaramKasim/predicting-real-estate-prices-with-arima
Tool for identifying the best areas of Philadelphia for real estate investment in terms of ROI.
KaramKasim/Product-Recommendation
Product Recommender System for Retail Dataset
KaramKasim/Production-plan-optimization
KaramKasim/pycaret
An open-source, low-code machine learning library in Python
KaramKasim/retail-machine-learning
Using Python, Javascript, Postgres and HTML built a retail dashboard containing interactive visualization and forecast generated by Facebook Prophet and other machine learning models. Grocery recommendation system uses k-means clustering and the surprise algorithm
KaramKasim/SalesIntelligence
Applying product segmentation, demand forecasting, and revenue optimization to increase online retailer revenue
KaramKasim/scraper
For scraping and tracking prices of products.
KaramKasim/SimRLFab
Simulation and reinforcement learning framework for production planning and control of complex job shop manufacturing systems
KaramKasim/Stock-Forecaster
:chart_with_upwards_trend: A web based stock forecaster in Django with predictive analysis
KaramKasim/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
KaramKasim/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
KaramKasim/stocktwits-sentiment-analysis
KaramKasim/text_mining_resources
Resources for learning about Text Mining and Natural Language Processing
KaramKasim/TGWHF---RE-Processing
All code related to processing RE transactional gifts
KaramKasim/Understanding-Customer-Pain-Points-Using-Text-Mining
Using Sentiment Analysis to understand customer satisfaction in US Healthcare Industry
KaramKasim/Walmart-Sales-Prediction