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Vithika Karan's Projects

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

email-campaign-effectiveness-prediction icon email-campaign-effectiveness-prediction

Most of the small to medium business owners are making effective use of Gmail-based Email marketing Strategies for offline targeting of converting their prospective customers into leads so that they stay with them in Business. The main objective is to create a machine learning model to characterize the mail and track the mail that is ignored; read; acknowledged by the reader.

face-emotion-recognition icon face-emotion-recognition

E-learning is a network-enabled transfer of skills and knowledge in which education is delivered to a large number of people at the same time or at different periods. This makes it highly difficult for the teachers to understand whether the student is able to grasp the concepts or not. Here comes the role of Facial Emotion Recognition. It is an application of computer vision tasks to predict emotions on the basis of facial landmarks and gestural changes. The approach followed here is to explore the FER2013 dataset, preprocess it, use data augmentation techniques in order to get more generalized results and train a CNN model to finally get a real time emotion detector which can be used in the above business problem of the web based industries to get more motivated and focused students.

retail-sales-prediction icon retail-sales-prediction

Sales Prediction : Predicting sales of a major store chain Rossmann; Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. You are provided with historical sales data for 1,115 Rossmann stores. The task is to forecast the "Sales" column for the test set. Note that some stores in the dataset were temporarily closed for refurbishment.

zomato-restaurant-clustering-and-sentiment-analysis icon zomato-restaurant-clustering-and-sentiment-analysis

The Project focuses on Customers and Company, to analyze the sentiments of the reviews given by the customer in the data and makes some useful conclusions in the form of Visualizations. Also, clusters the Zomato restaurants into different segments. The data is visualized as it becomes easy to analyze data at instant. The Analysis also solves some of the business cases that can directly help the customers finding the Best restaurant in their locality and for the company to grow up and work on the fields they are currently lagging in.

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