rifkyahmadsaputra Goto Github PK
Type: User
Type: User
At this time, I will share my analysis and visualization what I did on Data Scientist Jobs Dataset.
In this project, I do some analysis and visualization on samples of scores UTBK SBMPTN 2019 data. I do that because I want to find informations and insights about UTBK in 2019, e.g. what majors and universities are the most favourite in 2019, distribution of participants UTBK scores in 2019, etc.
In this project, I do some analysis, visualizations, and then create movie recommender system on imdb data. I do that because I want to know more about movies, especially Hollywood movies. Therefore, I do analysis and visualization on imdb data which is contain informations about movies, e.g. who is produced, when the movies release, rating movies, budget and income, etc. After that, I create movie recommender system, which is the system will recommend top 10 similar movies based on the movie that has been input by the user.
In this project, I created prediction model for predict bitcoin price with Gated Recurrent Unit Model. GRU is a gating mechanism in recurrent neural networks (RNN) similar to a long short-term memory (LSTM), GRU have more simple computation and faster than LSTM because have fewer number of gates.
At this time, I will share my work which is a prediction titanic survivor from kaggle. This is beginner competition from kaggle, that is, using machine learning to create a model that predicts which passengers survived the Titanic shipwreck (Source : https://www.kaggle.com/c/titanic).
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