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1
Sesi 1 - Introduction: Basic Syntax, Data Type, and Variable (00:00)
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Welcome
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Tools Installation
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Pengenalan Python
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Git Tutorial
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2
Sesi 2 - Conditions, Control Flow & Looping (00:00)
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Percabangan dan Perulangan
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Git Tutorial
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TipsPy
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3
Sesi 3 - Function, Basic Module, and Package (00:00)
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Function, Module, dan Package
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TipsPy
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4
Sesi 4 - Data Scraping (00:00)
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Data Scraping
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5
Sesi 5 - Numpy (00:00)
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NumPy
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6
Sesi 6 - Pandas Introduction (00:00)
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Pandas Introduction
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TipsPy
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7
Sesi 7 - Data Cleaning with Pandas (00:00)
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EDA with Pandas
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8
Sesi 8 - Basic Visualization (00:00)
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Visualisasi Dasar
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TipsPy
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9
Sesi 9 - Advanced Visualization (00:00)
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Visualisasi Menengah 1
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Visualisasi Menengah 2
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Assignment Python 1: Publication-Grade Plot
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TipsPy
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10
Sesi 10 - Descriptive Statistics (05:48)
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Descriptive Statistics
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Python from Home
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11
Sesi 11 - Inferential Statistics (00:00)
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Inferential Statistics
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Assignment Python 2: Statistical Treatment for Retail Datasets
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12
Sesi 12 - Regression Models (00:00)
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Introduction to Machine Learning
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Regression Models
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13
Sesi 13 - Classification I (00:00)
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Classification 1
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14
Sesi 14 - Classification II (00:00)
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Classification 2
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Assignment 3 Python: Machine Learning with Sales Data
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15
Sesi 15 - Unsupervised Learning (00:00)
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Unsupervised
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16
Sesi 16 - ANN Introduction (00:00)
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Pengenalan Deep Learning dan Neural Network
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17
Sesi 17 - Convolutional Neural Network (00:00)
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Convolutional Neural Network I
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Convolutional Neural Network II
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18
Sesi 18 - Recurrent Neural Network (00:00)
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Recurrent Neural Network
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19
Sesi 19 - Model Deployment (00:00)
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Model Deployment
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20
Sesi 20 - Final Project (00:00)
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Final Project
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