Ajay Kumar's repositories
Bank-loan-classifier
A commercial bank in Czech Republic wants to improve their loan services for existing customers and market them accordingly.
Inovice-Data-Extraction
Inovice Data Extraction
Italian-to-English-Translation-Using-Attention-Mechanism
Italian-to-English-Translation-Using-Attention-Mechanism
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
awesome-gcp-certifications
Google Cloud Platform Certification resources.
awesome-ocr
Links to awesome OCR projects
career_village_challenge
Practical Data Science Tutorial Group Project:
chwrapper
A python wrapper around the Companies House UK API.
companies_house
Companies' House API
Data_wrangling_analysis_soccer_data
This is a data wrangling project where the main objective was to parse data from multiple large JSON files in usable format for further analysis. In this project, several tools were developed and applied on datasets related to the Spanish League for demonstration purpose. The resulting datasets can be used for further exploratory analysis, clustering, machine learning, and developing statistical models.
Demand-Forecast-application-using-walmart-2020-Capstone-Project-
Retail sales forecasting using Data science
Demand-Forecasting-of-Rossmann-s-Sales
Production & Operations Management Project
Demand-Forecasting-Public-Bike-Rental-Predictive-Modeling-
Developed multiple predictive models with 90% accuracy for forecasting the daily-hourly bike rental count using Python & Machine Learning techniques like Regression, Clustering, Ensemble, Neural Network to achieve maximum accuracy
Demand_Forecasting
Time series analysis of Brick and Mortar sales data
feature-selection-for-machine-learning
Code Repository for the online course Feature Selection for Machine Learning
Forecasting-energy-prices-through-Time-Series-Analysis
Several methods (ARIMA, sARIMA, UCM, LSTM) for Time Series Analysis are applied in order to forecast the evolution of the prices on the energy market for the next 11 months.
Harvestify
A machine learning based website which recommends the best crop to grow, fertilizers to use and the diseases caught by your crops.
Intermittent-demand-forecasting
Predicting the Sales using Time-series forecasting for month-wise data.
Road-Cracks-Detection-Neural-Network-
A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.
sktime
A unified framework for machine learning with time series
Speech-To-Text
End-to-End Speech Recognition
Store-Item-Demand-Forecating-Time-Series-Modeling
A time-series forecasting project to predict sales for different items at stores using LightGBM that can help with Inventory and Replenishment optimization
Store-Sales-Prediction-Project
Nowadays, shopping malls and Big Marts keep track of individual item sales data in order to forecast future client demand and adjust inventory management. In a data warehouse, these data stores hold a significant amount of consumer information and particular item details. By mining the data store from the data warehouse, more anomalies and common patterns can be discovered.
Time_Series
Forecasting is valuable in a variety of industries and fields. From financial data where we forecast market volatility, to consumer product good (CPG) companies where we forecast demand and sales individually for our products, to energy companies forecasting energy demand from their customers, time series and forecasting models drive business decisions and insights.