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brand24 data-visualization datacleaning dataexploration neural-networks outlier-detection performance-metrics powerbi smote smote-sampling timeseries-forecasting netlytic

ads_sma's Introduction

Applied Data Science

Sr. No. Experiment Name
1 Data Visualization
2 Data Exploration
3 Data Cleaning
4 Performance evaluation metrics for Data Models
5 House Price prediction using Neural Networks
6 SMOTE
7 Outlier detection using IQR, Z-score, LOF and DBSCAN
8 Time Series Prediction with LSTM Recurrent Neural Networks

Social Media Analytics

Sr. No. Experiment Name
1 Study various -
1. Social Media platforms ( Facebook, twitter, YouTube etc)
2. Social Media analytics tools ( Facebook insights, Google analytics,Netlytic etc)
3. Social Media Analytics techniques and engagement metrics (page level, post level, member level)
4. Applications of Social media analytics for business.
2 Data Collection - YouTube Data Scraping
3 Data Cleaning and Storage
4 Exploratory Data Analysis and visualization of Social Media Data for business.
5 Develop Content (text, emoticons, image, audio, video) based social media analytics model for business.
6 Develop Structure based social media analytics model for any business. ( e.g. Structure Based Models -community detection, influence analysis)
7 Develop a dashboard and reporting tool based on real time social media data.
8 Design the creative content for promotion of your business on social media
9 Analyze competitor activities using social media data.
10 Develop social media text analytics models for improving existing product/ service by analyzing customer‘s reviews/comments

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