Shanu Halli's Projects
Try different values of support and confidence. Observe the change in number of rules for different support, confidence values. Change the minimum length in apriori algorithm. Visulize the obtained rules using different plots.
ExcelR Data Science Assignment No 1
ExcelR Data Science Assignment No 2
Perform Clustering (Hierarchical, K Means Clustering and DBSCAN) for the airlines and crime data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.
Use decision trees to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
Forecast the Airlines Passengers and CocaCola Prices data set. Prepare a document for model explaining. How many dummy variables you have created and RMSE value for model. Finally which model you will use for Forecasting.
ExcelR Data Science Assignment No 3
Prepare a model for glass classification using KNN and Implement a KNN model to classify the animals in to categorie.
Predicting Customer Response to Telemarketing Campaigns for Term Deposit. Output variable Whether the client has subscribed a term deposit or not.
Prepare a prediction model for profit of 50 startups data and Consider only the some columns and prepare a prediction model for predicting Price.
Prepare a classification model using Naive Bayes for salary data.
Predict the Burned Area of Forest Fire with Neural Networks and Predicting Turbine Energy Yield (TEY) using Ambient Variables as Features.
Perform Principal component analysis and perform clustering using first 3 principal component scores both Heirarchial and K Means Clustering and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data.
Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
Build a recommender system by using cosine simillarties score - books dataset.
Predict delivery time using sorting time and Build a prediction model for salary hike.
Classify the Size Categorie using SVM - the burned area of the forest (Small, Large) and Prepare a classification model using SVM for salary data.
Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.
Find all ExcelR Data Analyst Assignment Solution Here 1. Advanced Excel 2. MySQL 3. Python 4. Tableau 5. Power BI
Find all ExcelR Data Science Assignment Solution Here
Solutions to the practice exercises, coding challenges, and other problems on HackerRank! www.hackerrank.com
Python Problem Solving, App Development, Data Analysis Task, Machine Learning and MLOPs
Learn about basic MySQL and My solutions to various HackerRank SQL problems using MySQL
Conditional Statement and Python Function.
Perform Data Cleaning and Preparation - Sales Transactions data sets.
Data Visualization technique using Matplotlib, Seaborn, Plotly and Bokeh.
Mathematical function to handle large dimension array.
Python libraries for data manipulation and analysis.
The basic python data types.
1. A URL shortener is a service that is used to create short links from very long URLs. 2. Aspiring Mind Employment Outcome 2015 (AMEO) Project. 3. Open Pub Application 4. Movie Recommondation System
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