CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY (A)
  • IT1-Data Science with Python (Ele-4)-VI Sem-2020-2021
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  • Course data
    General
    Announcements
    Video Recordings
    DSP Orientation
    09.02.2021-Intro to DS and Python Fundamentals
    11.02.2021-Python Fundamentals
    12.02.2021-Python fundamentals
    16.02.2021-Python Fundamentals
    18.02.2021-Intro to Numpy Arrays
    20.02.2021-Array Operations, Broadcasting, Indexing
    22.02.2021-Numpy
    23.02.2021-Pandas-01.15 to 02.15
    25.02.2021-Pandas
    Pandas:01.03.2021
    08.03.2021 - Pandas Concluded, Data Storage intro
    09.03.2021 - Data Storage and file format
    15.03.2021 Data Cleaning
    16.03.2021-Renaming, Transformation, Map
    18.03.2021 - Working with strings, hierarchical indexing
    23.03.2021 PeriodIndex, time stamp
    22.03.2021 - Hierarchical, pivoting
    25.03.2021 - Aggregation Series, Data Frame
    30.03.2021-Random sampling, Pivot, Correlation, Crosstab
    01.04.2021 - Plotting and Visualisation
    06.04.2021-Time Series Intro
    09.04.2020-time series analysis
    10.04.2021-Time series (Period and Period arithmetic, Resampling, Moving Window Functions)-09.00AM to 10.00
    15.04.2021-10.15 to 11.15-Advanced Pandas-Categorical Data
    16.04.2021-11.30 to 12.30PM-I Unit Revision
    23.04.2021-11.20 to 12.20-Data Analysis examples: US Bitly, MovieLens
    27.04.2021-01.15 to 02.15-Data analysis examples: baby names
    29.04.2021-10.10 to 11.10-Data Analysis Examples: Food Data, Federal Elections
    AY2021-30.04.2021-11.30 to 12.30-DSP(El-IV) Finding Needle in haystack
    04.05.2021-01.15 to 02.15pm-advanced visualisation
    06.05.2021-10.20 to 11.20-Inferential Statistics
    AY2021-UG-Sem6-IT1-18ITE13-DSP-TP-07052021-34-Inferential Statistics
    AY2021-UG-Sem6-IT1-18ITE13-DSP-TP-11052021-34-Inferential statistics
    AY2021-UG-Sem6-IT2-DSP-TP-13052021-34-Logistic regression
    AY2021-UG-Sem6-IT1-18ITE13-DSP-TP-18052021-37-Collaborative filtering
    AY2021-UG-Sem6-IT1-18ITE13-DSP-TP-20052021-35-Ensemble methods & Clustering
    AY2021-UG-Sem6-IT1-18IT#13-DSP-TP-21052021-37-Text Mining
    AY2021-UG-Sem6-DSP-TP-18ITE13-24052021-39-Modeling Libraries
    AY2021-UG-Sem6-18ITE13-DSP-TP-40-Assignment ppt
    AY2021-UG-Sem6-18ITE13-DSP-26052021-41-Assignment presentations
    AY2021-UG-Sem6-18ITE13-DSP-26052021-41-assignment presentation
    Presentation files and .ipynb files
    Orientation
    Subplots
    Data Wrangling
    Data Cleaning and Preparation
    Data Aggregation and Group operations
    Plotting and Visualisation
    Time Series Data
    Advanced Pandas
    Pandas
    Numpy presentation
    Time Series material
    Inferential Statistics
    Making sense of data through advance visualisation
    Finding needle in haystack
    Interpreting OLS regression output
    Uncovering Machine Learning algorithms
    .ipynb files
    Numpy practice
    Pandas Practice
    Data Cleaning and preparation
    Data storage and File Format
    Data Aggregation and Group Operations
    Subplots
    Plotting and Visualisation
    U3-Time Series-ipynb
    Getting the larger picture from inferential statistics
    Performing predictions with Linear Regression
    Estimating Likelihood with Logistic Regression
    Text Mining
    Clustering
    Collaborative filtering
    Ensemble methods
    Modeling Libraries
    Slip Tests and Assignments
    Slip Test#1
    Solutions Slip Test#1
    Assignment#1
    Slip Test#2
    Assignment#2
    CIE
    CIE
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    IT1-Data Science with Python (Ele-4)-VI Sem-2020-2021
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    Course info

    1. Home
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    3. Information Technology
    4. UG
    5. Academic Year 2020-2021
    6. VI-Semester
    7. IT1-Data Science with Python (Ele-4)-VI Sem-2020-2021
    8. Summary

    IT1-Data Science with Python (Ele-4)-VI Sem-2020-2021

    • Teacher: Dr. Prathima Tirumalareddy Assistant Professor
    Skill Level: Beginner

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