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analysis-of-best-sellers-

Selection Criteria is developed to identify the best or most promising sellers in this dataset.

analysis-of-gdp-and-population-data

Analysis is done using plotly plots to study the important results and conclusions behind the GDP and Population data.

analysis-of-sales-data-

Sales analysis is done to mine the data to evaluate the performance of sales team against its goals.

analyzation-of-employee-data

Analyzation of employee data, using MySQL and Power BI Visualization Tool.

autoignition-delay-for-xylene-

Calculation of auto-ignition delay of xylene in python using chemkin.

books-recommender-system-

Books recommendation system by collaborative filtering and certain visualization are done on data.

cab-price-prediction

Prediction of Cab Prices depending upon the distance and other factors.

calculation-of-profit-and-loss-using-vwap-in-trading-

Using weighted average formula, profit and loss is calculated in Bank Nifty Data of 5 min

data-extraction-and-text-analytics

Text Analysis that includes extraction of word count, Positive Score, Negative Score, Polarity, Uncertainty, Constraining, Positive Word Proportion, Negative Word Proportion, Uncertainty Word Proportion and many more.

feature-selection-and-data-cleaning-

Feature selection is done by using filter methods along with data cleaning.

firebase-data-updation

fruit_classifier

iphone-12-amazon-data-extraction

Data scrapping is done from Amazon web page that contains the list of Iphone 12.

kidney-disease-analysis

Machine learning algorithm is used to detect whether the person will suffer from chronic kidney disease or not.

kmeans-on-iris-data

Unsupervised algorithm on the common data i.e. iris

lenovo-laptops-flipkart-data-extraction

Data scrapping is done from Flipkart web page that contains the list of Lenovo laptops.

mini-auto-correct-model

Auto correct model is made using the words text file. Initally pre-processing is done, followed by the counting the words and each word probabilities.

movie-recommender-system

User Based Collaborative Filtering is Done by KNN Model.

newprice

parts-of-speech-tagging

Markov Model to detect the Parts of Speech Tagging.

prediction-of-airlines-prices-

Prediction of prices of various airlines is done using regression algorithms.

prediction-of-score-based-on-hours-studied-

Predicts the scores obtained from the total hrs studied.

prediction-of-shows-and-no-shows-in-healthcare-industry

To predict whether booked appointment will be completed or it will be no show.

sediment-analysis-of-you-tube-comments

Sentiment analysis of comments, the user can get to know about the community acceptance of its channel/video based on that one can maintain their content quality.

sentiment-analysis-of-twitter-samples

Sentiments of tweets are analyzed to predict whether the tweet is positive or negative.

shipping-pricing-prediction

Predicting the supply chain shipment pricing based on the available factors in the dataset using the classical machine learning algorithms.

trading-data-profit-calculation

Different strategies and assumptions are used along with code according to which the profits or loss are calculated for trade.

vlookup-automation

Code to perform VLOOKUP of MS Excel into Python without in-built function of Merge