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Course content
Sections:
5
•
Activities:
0
•
Resources:
75
- 001 Introduction CmdP gitir
- 002 Setup of the Anaconda Cloud Notebook dB7F gitir
- 003 Download and installation of the Anaconda Distribution optional mVE1 gitir
- 004 The Conda Package Management System optional N4nW gitir
- 005 Overview of Python for Data Handling U7IM gitir
- 006 Python Integer 3cdo gitir
- 007 Python Float S52A gitir
- 008 Python Strings I O21x gitir
- 009 Python Strings II Intermediate String Methods MtdU gitir
- 010 Python Strings III DateTime Objects and Strings Q1qF gitir
- 011 Overview of Python Native Data Storage Structures 9XWw gitir
- 012 Python Set Buco gitir
- 013 Python Tuple UwJu gitir
- 014 Python Dictionary FEVh gitir
- 015 Python List LEgk gitir
- 016 Overview of Python Data Transformers and Functions cKke gitir
- 017 Python While loop 2fYA gitir
- 018 Python For loop tRal gitir
- 019 Python Logic Operators and conditional code branching JwnQ gitir
- 020 Python Functions I Some theory SDgy gitir
- 021 Python Functions II create your own functions iCFE gitir
- 022 Python Object Oriented Programming I Some theory 578x gitir
- 023 Python Object Oriented Programming II create your own custom objects F73N gitir
- 024 Python Object Oriented Programming III Files and Tables uwmS gitir
- 025 Python Object Oriented Programming IV Recap and More Vabh gitir
- 026 Master Pandas for Data Handling Overview KYGa gitir
- 027 Pandas theory and terminology m5ez gitir
- 028 Creating a Pandas DataFrame from scratch ubcI gitir
- 029 Pandas File Handling Overview Gxty gitir
- 030 Pandas File Handling The csv file format JPNF gitir
- 031 Pandas File Handling The xlsx file format qklF gitir
- 032 Pandas File Handling SQL database files and Pandas DataFrame puSw gitir
- 033 Pandas Operations Techniques Overview 1L0P gitir
- 034 Pandas Operations Techniques Object Inspection t1bd gitir
- 035 Pandas Operations Techniques DataFrame Inspection qFrb gitir
- 036 Pandas Operations Techniques Column Selections IA1a gitir
- 037 Pandas Operations Techniques Row Selections BJd8 gitir
- 038 Pandas Operations Techniques Conditional Selections 7FRg gitir
- 039 Pandas Operations Techniques Scalers and Standardization poPi gitir
- 040 Pandas Operations Techniques Concatenate DataFrames U5pj gitir
- 041 Pandas Operations Techniques Joining DataFrames i2tN gitir
- 042 Pandas Operations Techniques Merging DataFrames aZOR gitir
- 043 Pandas Operations Techniques Transpose Pivot Functions VjzA gitir
- 044 Pandas Data Preparation I Overview workflow vc4A gitir
- 045 Pandas Data Preparation II Edit DataFrame labels XaEd gitir
- 046 Pandas Data Preparation III Duplicates 3gTH gitir
- 047 Pandas Data Preparation IV Missing Data Imputation hTx6 gitir
- 048 Pandas Data Preparation V Data Binnings Extra Video uZoK gitir
- 049 Pandas Data Preparation VI Indicator Features Extra Video N14K gitir
- 050 Pandas Data Description I Overview 57Za gitir
- 051 Pandas Data Description II Sorting and Ranking kInO gitir
- 052 Pandas Data Description III Descriptive Statistics 5oql gitir
- 053 Pandas Data Description IV Crosstabulations Groupings iQxs gitir
- 054 Pandas Data Visualization I Overview kOXQ gitir
- 055 Pandas Data Visualization II Histograms QIvw gitir
- 056 Pandas Data Visualization III Boxplots kpWK gitir
- 057 Pandas Data Visualization IV Scatterplots UC7r gitir
- 058 Pandas Data Visualization V Pie Charts yD7M gitir
- 059 Pandas Data Visualization VI Line plots JKs0 gitir
- 060 Regression Prediction and Supervised Learning Section Overview I uRoH gitir
- 061 The Traditional Simple Regression Model II fzUX gitir
- 062 The Traditional Simple Regression Model III MAri gitir
- 063 Some practical and useful modelling concepts IV rycB gitir
- 064 Some practical and useful modelling concepts V FH0u gitir
- 065 Linear Multiple Regression model VI tsAp gitir
- 066 Linear Multiple Regression model VII 0YoQ gitir
- 067 Multivariate Polynomial Multiple Regression models VIII U42n gitir
- 068 Multivariate Polynomial Multiple Regression models VIIII Dphj gitir
- 069 Regression Regularization Lasso and Ridge models X xmQz gitir
- 070 Decision Tree Regression models XI eDzT gitir
- 071 Random Forest Regression XII GVKP gitir
- 072 Voting Regression XIII 2Y8d gitir
- 073 Overview e3Pk gitir
- 074 Artificial Neural Networks Feedforward Networks and the Multi Layer Perceptron O5yw gitir
- 075 Feedforward Multi Layer Perceptrons for Prediction tasks ZGBj gitir