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.
☆24Updated 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:
- Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.☆10Updated 6 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…☆27Updated 6 years ago
- 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
- 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
- One of the most basic data sets to learn and implement some of the most easy and basic algorithms of machine learning and visualization☆9Updated 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…☆22Updated 5 years ago
- Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.☆13Updated 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
- It is one of the most basic repository to understand the basics and apply machine learning algorithms on it.☆8Updated 6 years ago
- Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization an…☆29Updated 4 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
- 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
- Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.☆17Updated 6 years ago
- L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter i…☆10Updated 6 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
- It is one of the most basic repository to understand the basics and apply machine learning algorithms on it.☆9Updated 6 years ago
- Analyzing the Online Transactions in UK and the countries who are purchase stuff from them and analyzing the reviews from them using NLP …☆16Updated 6 years ago
- Analyzing the Factors on which Graduates get Admissions in Abroad and Visualizing some of the most intriguing and interesting patterns fo…☆9Updated 6 years ago
- This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments.☆8Updated 6 years ago
- Predicting whether a person who has applied for a loan in a bank would get his/her loan approved or not using Classification Algorithms i…☆8Updated 6 years ago
- Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific…☆12Updated 5 years ago
- Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Le…☆9Updated 4 years ago
- In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The…☆17Updated 6 years ago
- Analyzing the Growth of Women in USA over Years in different departments and field of Bachelor's Degree offered in USA, using Data Analys…☆7Updated 6 years ago
- Comparing Top food and feed Producers around the globe and also seeking some interesting answers, solutions, patterns, hints and warnings…☆14Updated 5 years ago
- Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to…☆33Updated 6 years ago
- Predicting Algae's age using different attributes and Machine Learning Algorithms for Regression Analysis.☆10Updated 6 years ago
- Using Natural Language Processing and Bag of Words for feature extraction for sentiment analysis of the customers visited in the Restaura…☆12Updated 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
- Analyzing the Features which leads to heart diseases and visualizing the models' performance and important features using eli5, shap and …☆12Updated 6 years ago