sharmaroshan / SECOM-Detecting-Defected-ItemsLinks
Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.
☆26Updated 6 years ago
Alternatives and similar repositories for SECOM-Detecting-Defected-Items
Users that are interested in SECOM-Detecting-Defected-Items are comparing it to the libraries listed below
Sorting:
- It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed …☆18Updated 6 years ago
- The most basic data set available to practice the concepts of regression analysis and explore the most basic concepts of machine learning☆11Updated 6 years ago
- Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization an…☆29Updated 5 years ago
- Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.☆17Updated 6 years ago
- I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series…☆23Updated 5 years ago
- In this data set, We have to predict the patients who are most likely to suffer from cervical cancer using Machine Learning algorithms fo…☆10Updated 6 years ago
- In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Dat…☆39Updated 6 years ago
- Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.☆10Updated 6 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆112Updated 7 years ago
- Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.☆13Updated 6 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to…☆34Updated 6 years ago
- Customer segmentation using k-means clustering in python☆60Updated 7 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆107Updated 2 years ago
- Sales forecasting for the supply chain industry.☆11Updated 4 years ago
- Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visu…☆51Updated 6 years ago
- Time Series Analysis for Oil Price Prediction☆19Updated 8 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆31Updated 5 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆136Updated 7 years ago
- Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Fe…☆13Updated 6 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆94Updated last year
- This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other rel…☆28Updated 6 years ago
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆128Updated 7 years ago
- Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a…☆59Updated 5 years ago
- Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and ap…☆28Updated 6 years ago
- Clustering Analysis Performed on the Customers of a Mall based on some common attributes such as salary, buying habits, age and purchasin…☆10Updated 6 years ago
- Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.☆34Updated 6 years ago
- SohitKalluru / Forecasting-of-order-demand-in-warehouses-using-autoregressive-integrated-moving-average.Forecasting of order demand in warehouses using auto-regressive integrated moving average(ARIMA).☆23Updated 5 years ago
- Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)☆278Updated last year
- time-series prediction for predictive maintenance☆53Updated 6 years ago