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academicsuccess_eda_datavisulization_mlclassification

A classification model of Academic Success of students where we can predict the students will be success or failure in academic.

age-of-marriage

This dataset captures the minimum age at which boys and girls can legally marry. It also identifies whether exceptions can be made to minimum age laws. The database is coded for girls and for boys separately, so it is possible to analyze gender. Also we have got the data from differennt cities of lot of countries like India, USA, Canada, Malaysia,

air-passengers-timeseriesanalysis

This is time series analysis (TSA) for air passengers count per day. I completed EDA for this dataset and then tried to predict the future passenger data with using ARIMAX and SARIMAX model.

carpriceprediction

h-m-personalized-fashion-recommendations

In this competition, H&M Group invited us to develop product recommendations based on data from previous transactions, as well as from customer and product meta data. The available meta data spans from simple data, such as garment type and customer age, to text data from product descriptions, to image data from garment images.

housepriceprediction

india-flight-price-prediction

Figuring out when to book the cheapest flights is never easy. From the best day to book flights, to other cheap flight travel hacks, MDS (Maharana Data Science) team has now introduced price prediction on this app to help you find the ultimate cheap flights. This price prediction app has functions where you can search the cheapest day in a month

selenium-automation1

selenium-automation2

storesales-time-series-forecasting

The goal of this analysis is to predict the sales for the thousands of product families sold at Favorita stores located in Ecuador. Predictions aren’t just for meteorologists. Governments forecast economic growth. Scientists attempt to predict the future population. And businesses forecast product demand—a common task of professional data scientists. Forecasts are especially relevant to brick-and-mortar grocery stores, which must dance delicately with how much inventory to buy. Predict a little over, and grocers are stuck with overstocked, perishable goods. Guess a little under, and popular items quickly sell out, leading to lost revenue and upset customers. More accurate forecasting, thanks to machine learning, could help ensure retailers please customers by having just enough of the right products at the right time.

timeseriesanalysis

Here we have considered a data set where we are seeing the number of air Passengers per month. We have applied time series analysis technique to predict the future passenger details. We used both ARIMAX and SARIMAX technique to predict.

zomatorestaurantrating_endtoend

zomatoresturantrating_end2end

Zomato is one of the best online food delivery apps which gives the users the ratings and the reviews on restaurants all over india.These ratings and the Reviews are considered as one of the most important deciding factors which determine how good a restaurant is.