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Explore the various stages of the Data Science Life cycle in the trajectory of this data science course in ecil .Initially conceptualize Data preparation, Data Cleansing, Exploratory Data Analysis and Data Mining (Supervised and Unsupervised). Progressively learn the theory behind Feature Engineering, Feature Extraction and Feature Selection. Perform Predictive modelling using regression analysis. Build Machine Learning, Deep Learning and Neural Network algorithms with Python and R
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Explore the various stages of the Data Science Life cycle in the trajectory of this data science course in ecil .Initially conceptualize Data preparation, Data Cleansing, Exploratory Data Analysis and Data Mining (Supervised and Unsupervised). Progressively learn the theory behind Feature Engineering, Feature Extraction and Feature Selection. Perform Predictive modelling using regression analysis. Build Machine Learning, Deep Learning and Neural Network algorithms with Python and R
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Explore the various stages of the Data Science Life cycle in the trajectory of this data science course in ecil .Initially conceptualize Data preparation, Data Cleansing, Exploratory Data Analysis and Data Mining (Supervised and Unsupervised). Progressively learn the theory behind Feature Engineering, Feature Extraction and Feature Selection. Perform Predictive modelling using regression analysis. Build Machine Learning, Deep Learning and Neural Network algorithms with Python and R
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