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R Programming (Text Mining - classification model for Hit/Flop movies)

₹1500-12500 INR

Imeghairiwa
Imechapishwa over 5 years ago

₹1500-12500 INR

Kulipwa wakati wa kufikishwa
Text Mining (Fetch data from rotten tomato website and make a classification model for Hit/Flop movies).
Kitambulisho cha mradi: 18053828

Kuhusu mradi

7 mapendekezo
Mradi wa mbali
Inatumika 5 yrs ago

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7 wafanyakazi huru wana zabuni kwa wastani ₹9,000 INR kwa kazi hii
Picha ya Mtumiaji
Hello, Greetings of the day.!! Your project attracted my attention at first glance, because I've really rich experience in Machine Learning with R (R studion) and Python Programming. I am having 7+ years of experience in Data Science using tools like Python, R, Spark. I have worked on several similar projects before! I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Some of the Projects I have worked upon - 1) Twitter Troll Classification using _Python_ 2) Horse Race Prediction using _R_ 3) Electricity Load forecasting using Deep Learning models using _Python(Keras)_ 4) Feature selection using BORUTA and prediction in _R_ 5) Employee Churn prediction Model using _Python_(2 Projects) 6) R programming real time assignment _R_ 7) Twitter Sentiment Analysis using Python _R_ 8) Youtube video Nostalgic Analysis _Python_ 9) Python Online Hackathon _Python_ 10) MSC thesis Project on Heart disease prediction using Sklearn and Keras _Python_ 11) Build a XGBoost model to increase the accuracy of a ML model _Python_ 12) Credit card fraud Detection _Python_ You can check my all projects and detailed portfolio on my profile. Ping me for more details. Lets Discuss....! Thanks, Abhyudaya D
₹7,777 INR ndani ya siku 3
4.8 (81 hakiki)
6.2
6.2
Picha ya Mtumiaji
I have 6 years of working experience in R. Some of the work that I have done in R includes - 1) Time series analysis- ARIMA, MDFA 2) Machine Learning projects - RF, NN, GBM etc 3) Data Analytics Projects using integration with SQL 4) Packages used - RMD, Shiny, rvest etc 5) Bayes Regression 6) Text Classification
₹12,222 INR ndani ya siku 3
5.0 (11 hakiki)
4.4
4.4
Picha ya Mtumiaji
I have a good understanding of scientific research methods. I've conducted analysis in various areas including the financial market and the consumer market and learned several data analysis tools such as Excel, MATLAB, R, and Python and Gephi for data visualization with libraries like Numpy, Scipy, and Matplotlib. I have an expertise in Deep Learning for more than 2 years. I have one published Research paper in IEEE and so many projects on Machine Learning. In Data Visualization, I learned Gephi as well for which my last employer was more than satisfied as I have to learn it from scratch for his project and did a great job. For Database, I know SQL and NoSQL. I did several projects on computer vision as well as Natural Language Processing. So, I am pretty confident that I can fulfill this job with ease. The rate can be negotiated.
₹11,111 INR ndani ya siku 10
5.0 (3 hakiki)
2.4
2.4
Picha ya Mtumiaji
Hello, I'm Luis Vasquez. I'm a mathematician graduate, work for an Insurance Company in Data Mining department. Use SQL daily and have been programing in R for more time while I'm at home. Self-taught R, SAS, SQL and VBA. Have great analytics skills and can achieve most of things I propose myself with. Studied Text Mining with Data Camp course, so this is not a new field for me. Would be glad to work with you.
₹11,111 INR ndani ya siku 15
4.6 (1 hakiki)
1.6
1.6
Picha ya Mtumiaji
Hello, My name is O.. Timoty. I am an ML engineer. Your project seems very interesting. I would breakdown your project in 3 steps: 1. Data Collection: + get rotten tomatoes data + movie description + review summary + inviduals reviews + aggregated stats/date + get metadata + get movie imdb profile + get boxofficemojo profile + use metacritic data ? 2. Build a hit/flop model based on previously collect data 3. Deploy and validate the model
₹11,111 INR ndani ya siku 10
5.0 (1 hakiki)
0.4
0.4

Kuhusu mteja

Bedera ya INDIA
New Delhi, India
4.9
31
Mwanachama tangu Apr 27, 2018

Uthibitishaji wa Mteja

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