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001 Course Overview !.html
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002 Introduction to Google Colab.en.srt
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002 Introduction to Google Colab.mp4
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003 Links to TensorFlow Notebooks.html
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004 The Neuron.en.srt
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004 The Neuron.mp4
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005 Activation Function.en.srt
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005 Activation Function.mp4
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006 Cost Function.en.srt
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006 Cost Function.mp4
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007 Gradient Descent and Back-Propagation.en.srt
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007 Gradient Descent and Back-Propagation.mp4
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008 Step 1 - Installation and Setup.mp4
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008 Step 1 - Installation and Setup.en.srt
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009 Step 2 - Data Preprocessing.en.srt
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009 Step 2 - Data Preprocessing.mp4
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010 Step 3 - Building the Model.en.srt
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010 Step 3 - Building the Model.mp4
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011 Step 4 - Training the Model.en.srt
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012 Step 5 - Model evaluation and performance.en.srt
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012 Step 5 - Model evaluation and performance.mp4
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013 Step 1 - Binary Classification.en.srt
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013 Step 1 - Binary Classification.mp4
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014 Step 2 - Binary Classification.en.srt
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015 Step 3 - Binary Classification.en.srt
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015 Step 3 - Binary Classification.mp4
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016 Step 4 - Binary Classification.mp4
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017 Step 5 - Binary Classification.en.srt
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017 Step 5 - Binary Classification.mp4
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018 Convolutional Neural Network Part 1.en.srt
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018 Convolutional Neural Network Part 1.mp4
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019 Convolutional Neural Network Part 1.en.srt
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019 Convolutional Neural Network Part 1.mp4
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020 Building Convolutional Neural Network Step 1.en.srt
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020 Building Convolutional Neural Network Step 1.mp4
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021 Building Convolutional Neural Network Step 2.en.srt
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021 Building Convolutional Neural Network Step 2.mp4
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022 Building Convolutional Neural Network Step 3.en.srt
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022 Building Convolutional Neural Network Step 3.mp4
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023 Building Convolutional Neural Network Step 4.en.srt
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023 Building Convolutional Neural Network Step 4.mp4
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024 Building Convolutional Neural Network Step 5.mp4
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024 Building Convolutional Neural Network Step 5.en.srt
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025 CNN for Binary Image Classification Step 1.en.srt
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025 CNN for Binary Image Classification Step 1.mp4
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026 CNN for Binary Image Classification Step 2.en.srt
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026 CNN for Binary Image Classification Step 2.mp4
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027 CNN for Binary Image Classification Step 3.en.srt
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027 CNN for Binary Image Classification Step 3.mp4
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028 CNN for Binary Image Classification Step 4.en.srt
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028 CNN for Binary Image Classification Step 4.mp4
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029 CNN for Binary Image Classification Step 5.en.srt
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029 CNN for Binary Image Classification Step 5.mp4
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030 CNN for Digit Recognition Part 1.en.srt
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030 CNN for Digit Recognition Part 1.mp4
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031 CNN for Digit Recognition Part 2.en.srt
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031 CNN for Digit Recognition Part 2.mp4
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032 CNN for Digit Recognition Part 3.en.srt
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032 CNN for Digit Recognition Part 3.mp4
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033 CNN for Breast Cancer Detection Part 1.en.srt
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033 CNN for Breast Cancer Detection Part 1.mp4
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034 CNN for Breast Cancer Detection Part 2.en.srt
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035 CNN for Breast Cancer Detection Part 3.en.srt
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035 CNN for Breast Cancer Detection Part 3.mp4
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036 CNN for Predicting the Bank Customer Satisfaction Part 1.en.srt
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036 CNN for Predicting the Bank Customer Satisfaction Part 1.mp4
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037 CNN for Predicting the Bank Customer Satisfaction Part 2.en.srt
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037 CNN for Predicting the Bank Customer Satisfaction Part 2.mp4
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038 CNN for Predicting the Bank Customer Satisfaction Part 3.mp4
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038 CNN for Predicting the Bank Customer Satisfaction Part 3.en.srt
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039 CNN for Predicting the Bank Customer Satisfaction Part 4.en.srt
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039 CNN for Predicting the Bank Customer Satisfaction Part 4.mp4
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040 CNN for Credit Card Fraud Detection Part 1.en.srt
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040 CNN for Credit Card Fraud Detection Part 1.mp4
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041 CNN for Credit Card Fraud Detection Part 2.en.srt
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041 CNN for Credit Card Fraud Detection Part 2.mp4
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042 CNN for Credit Card Fraud Detection Part 3.en.srt
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042 CNN for Credit Card Fraud Detection Part 3.mp4
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043 CNN for Credit Card Fraud Detection Part 4.en.srt
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043 CNN for Credit Card Fraud Detection Part 4.mp4
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044 Introduction to Recurrent Neural Networks.en.srt
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044 Introduction to Recurrent Neural Networks.mp4
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045 Vanishing Gradient Problem.en.srt
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045 Vanishing Gradient Problem.mp4
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046 LSTM and GRU.en.srt
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046 LSTM and GRU.mp4
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047 RNN - LSTM for IMDB Review Classification Part 1.mp4
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047 RNN - LSTM for IMDB Review Classification Part 1.en.srt
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048 RNN - LSTM for IMDB Review Classification Part 2.en.srt
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050 RNN - LSTM for Image Classification Part 1.en.srt
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052 RNN - LSTM for Image Classification Part 3.en.srt
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052 RNN - LSTM for Image Classification Part 3.mp4
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053 Google Stock Price Prediction with RNN and LSTM Part 1.en.srt
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053 Google Stock Price Prediction with RNN and LSTM Part 1.mp4
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054 Google Stock Price Prediction with RNN and LSTM Part 2.en.srt
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055 Google Stock Price Prediction with RNN and LSTM Part 3.en.srt
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056 Google Stock Price Prediction with RNN and LSTM Part 4.en.srt
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057 Google Stock Price Prediction with RNN and LSTM Part 5.en.srt
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057 Google Stock Price Prediction with RNN and LSTM Part 5.mp4
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058 Introduction to Transfer Learning.en.srt
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058 Introduction to Transfer Learning.mp4
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059 Transfer Learning Part 1.en.srt
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059 Transfer Learning Part 1.mp4
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060 Transfer Learning Part 2.en.srt
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061 Transfer Learning Part 3.en.srt
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061 Transfer Learning Part 3.mp4
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062 Transfer Learning Part 4.en.srt
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062 Transfer Learning Part 4.mp4
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063 Introduction to Natural Language Processing.en.srt
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063 Introduction to Natural Language Processing.mp4
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064 NLTK Introduction and Installation.mp4
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064 NLTK Introduction and Installation.en.srt
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065 Tokenization.en.srt
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065 Tokenization.mp4
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066 Stemming.mp4
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067 Lemmatization.en.srt
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067 Lemmatization.mp4
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068 Stop Words.en.srt
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069 POS Tagging.en.srt
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070 Chunking.mp4
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070 Chunking.en.srt
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071 Named Entity Recognition.en.srt
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071 Named Entity Recognition.mp4
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072 Text Classification Part 1.en.srt
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072 Text Classification Part 1.mp4
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073 Text Classification Part 2.en.srt
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073 Text Classification Part 2.mp4
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074 Introduction to NumPy.en.srt
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074 Introduction to NumPy.mp4
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075 Numpy Arrays Part 1.en.srt
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077 Numpy Arrays Part 3.en.srt
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078 Numpy Indexing and Selection Part 1.en.srt
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079 Numpy Indexing and Selection Part 2.en.srt
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080 Numpy Operations.en.srt
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080 Numpy Operations.mp4
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081 Pandas Introduction.en.srt
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081 Pandas Introduction.mp4
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082 Pandas Series.en.srt
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082 Pandas Series.mp4
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083 DataFrames Part 1.en.srt
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083 DataFrames Part 1.mp4
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084 DataFrames Part 2.en.srt
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084 DataFrames Part 2.mp4
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MP4
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55.3 MB
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085 DataFrames Part 3.en.srt
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SRT
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11.3 KB
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085 DataFrames Part 3.mp4
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MP4
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56.4 MB
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086 Missing Data.en.srt
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SRT
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7.9 KB
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086 Missing Data.mp4
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MP4
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35.3 MB
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087 Groupby Method.en.srt
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SRT
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9 KB
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087 Groupby Method.mp4
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MP4
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49.1 MB
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088 Merging, Joining and Concatenating DataFrames.en.srt
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SRT
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9.7 KB
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088 Merging, Joining and Concatenating DataFrames.mp4
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MP4
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57.3 MB
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089 Pandas Operations.en.srt
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SRT
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9.4 KB
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089 Pandas Operations.mp4
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MP4
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38.8 MB
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090 Reading and Writing Files in Pandas.en.srt
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SRT
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9.3 KB
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090 Reading and Writing Files in Pandas.mp4
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MP4
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46.5 MB
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091 Matplotlib Part 1 - Functional Method.en.srt
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SRT
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12.7 KB
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091 Matplotlib Part 1 - Functional Method.mp4
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MP4
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90.6 MB
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092 Matplotlib Part 1 - Object Oriented Method.en.srt
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SRT
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7.6 KB
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092 Matplotlib Part 1 - Object Oriented Method.mp4
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MP4
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44 MB
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093 Matplotlib Part 2 - Subplots Method.en.srt
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SRT
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6.2 KB
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093 Matplotlib Part 2 - Subplots Method.mp4
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MP4
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37.8 MB
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094 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.en.srt
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SRT
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8.6 KB
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094 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4
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MP4
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53.9 MB
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095 Matplotlib Part 3.en.srt
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SRT
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6.1 KB
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095 Matplotlib Part 3.mp4
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MP4
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50.1 MB
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096 Matplotlib Part 4.en.srt
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SRT
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11.1 KB
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096 Matplotlib Part 4.mp4
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MP4
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91.2 MB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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79
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729.1 KB
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80
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499.7 KB
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583.7 KB
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82
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118.7 KB
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83
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770.2 KB
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84
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766.1 KB
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85
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413.5 KB
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86
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8.6 KB
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87
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704.4 KB
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88
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806.2 KB
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89
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251 KB
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90
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436.3 KB
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723.9 KB
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468.8 KB
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