Why Should You enroll?
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Resources for the Course
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Day-1
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Day-2
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Day-3
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Day-4
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Day-5
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Day-6
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Day-7
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Day-8
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Day-9
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Day-10
0/7
Day-11
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Day-12
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Day-13
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Day-15
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Day-16 (No lectures- Take Rest/Revise and enjoy the day)
Day-17
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Day-18
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Day-19
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Day-20
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Day-21 (Automatics EDA-1)
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Day-22 (Automatic EDA-2)
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Day-23 (Automatic EDA-3)
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Day-24 (AI-News and Automatic EDA)
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Day-25 (Pandas-1)
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Day-26 (Pandas-2)
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Day-27 (Pandas-3)
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Day-29
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Day-30 (Take a break and revise your previous lessons)
Day-31: Statistics for Data Science-(Part-1)
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Day-32: Statistics for Data Science-(Part-2)
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Day-33: Statistics for Data Science-(Part-3)
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Day-34: Statistics for Data Science- (Part-4)
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Day-35: Statistics for Data Science- (Part-5)
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Day-36: Mathematics for Data Science and Machine Learning
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Day-37, 38, 39, 40: NumPy for Data Science
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Day-41: Data Visualization (Part-1)
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Day-42: Data Visualization (Part-2)
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Day-43: Data Visualization (Part-3)
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Day-44: Data Visualization (Part-4)
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Day-45: Data Visualization (Part-5)- Plotly Master Class-I
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Day-46: Data Visualization (Part-5)- Plotly Master Class-II
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Day-47: Data Analysis and EDA complete project on real world data
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Day-48: Data Visualization (Part-6)- GeoMaps using Plolty
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Day-49: Data Visualization (Part-7)- Bokeh Library
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Day-50: Magic Commands Used in Python
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Day-51: Data Gathering and Data Scrapping
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Day-52: Machine Learning is Next
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Day-53: Machine Learning (Part-1)
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Day-54: Machine Learning (Part-2)
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Day-55: Machine Learning (Part-3)
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Day-56: Machine Learning (Part-4)
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Day-57: Machine Learning (Part-5)
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Day-58: Machine Learning (Part-6)
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Day-59: Machine Learning (Part-7)
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Day-60: Machine Learning (Part-8)
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Day-61: Machine Learning (Part-9)
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Day-62: Machine Learning (Part-10)
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Day-63: Machine Learning (Part-11)
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Day-64: Machine Learning (Part-12)
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Day-65: Machine Learning (Part-13)-Data Preprocessing Crash Course
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Day-66: Machine Learning (Part-14)
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Day-67: Machine Learning (Part-15)
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Day-68: Machine Learning (Part-16)
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Day-69: Machine Learning (Part-17)
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Day-70: Machine Learning (Part-18)
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Complete Projects A-Z
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