Android & Linear Regression House Price Prediction App

Files Included :

1 Introduction.mp4 (21.14 MB)
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1 Setting Up Android Studio Project.mp4 (23.39 MB)
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2 What we have done so far.mp4 (84.17 MB)
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3 Data Normalization in Android.mp4 (92.41 MB)
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4 Passing Input to house price prediction model in Android.mp4 (66.17 MB)
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5 Testing house price prediction Android Application.mp4 (36.48 MB)
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1 What is Machine Learning.mp4 (12.5 MB)
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2 Supervised Machine Learning Regression & Classification.mp4 (17.06 MB)
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3 Unsupervised Machine Learning & Reinforcement Learning.mp4 (18.62 MB)
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4 Deep Learning and regression models training.mp4 (51.02 MB)
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5 Basic Deep Learning Concepts.mp4 (24.26 MB)
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1 Google Colab.mp4 (50.87 MB)
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2 Python Introduction & its datatypes.mp4 (74.22 MB)
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3 Lists in Python.mp4 (56.45 MB)
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4 Dictionary and Tuples in Python.mp4 (31.48 MB)
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5 Loops and Conditional Statements in Python.mp4 (32.13 MB)
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6 File Handling In Python.mp4 (35.93 MB)
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1 Numpy Library.mp4 (46.24 MB)
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2 Operations in Numpy.mp4 (44.18 MB)
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3 Functions in Numpy.mp4 (40.45 MB)
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4 Pandas library.mp4 (30.72 MB)
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5 Loading CSV Files in Pandas.mp4 (32.92 MB)
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6 Handling missing values in Pandas dataset.mp4 (38.66 MB)
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7 Matplotlib library.mp4 (28.45 MB)
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8 Images in Matplotlib.mp4 (26.52 MB)
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1 Tensorflow Variables & Constants.mp4 (48.15 MB)
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2 Tensorflow Shapes & Ranks of Tensors.mp4 (50.98 MB)
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3 Ragged Tesnors & Matrix Multiplication in Tensorflow.mp4 (44.24 MB)
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4 Tensorflow Operations.mp4 (18.32 MB)
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5 Random Values in Tensorflow.mp4 (62.04 MB)
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6 Tensorflow Checkpoints Save ML models.mp4 (29.4 MB)
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1 Section Introduction.mp4 (46.33 MB)
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2 Training a simple regression model for mobile devices.mp4 (94.33 MB)
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3 Model Testing and Conversion into Tensorflow Lite.mp4 (31.97 MB)
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4 Tensorflow Lite Model Training Overview.mp4 (20.19 MB)
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5 Analysing trained tflite model.mp4 (22.94 MB)
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6 Creating a new Android Studio Project and GUI of Application.mp4 (94.03 MB)
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7 Adding Tensorflow Lite Library In Android & Loading Tensorflow Lite Model.mp4 (93.31 MB)
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8 Passing Input to Tensorflow Lite Model in Android and Getting Output.mp4 (64.31 MB)
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9 Using basic tflite regression model in Android overview.mp4 (27.29 MB)
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1 Section Introduction.mp4 (8.89 MB)
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2 Data Collection Finding Fuel Efficiency Prediction Dataset.mp4 (49.39 MB)
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3 Loading Dataset in Python for Model Training.mp4 (78.19 MB)
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4 Handling missing Values in Fuel Efficiency Prediction Dataset.mp4 (33.34 MB)
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5 Handling Categorical Columns in Dataset for Model Training.mp4 (46.63 MB)
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6 Dataset Normalization.mp4 (27.95 MB)
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7 Training Fuel Efficiency Prediction Model in Tensorflow.mp4 (73.4 MB)
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8 Testing Trained Model and converting it to Tensorflow Lite Model.mp4 (45.95 MB)
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9 Training Fuel Efficiency Prediction Model Overview.mp4 (50.84 MB)
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1 Setting up Android Application for fuel efficiency prediction.mp4 (27.5 MB)
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2 Starter Application Overview.mp4 (67.28 MB)
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3 Loading Tensorflow Lite models in Android.mp4 (68.84 MB)
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4 Data Normalization in Android.mp4 (85.98 MB)
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5 Passing input to Tensorflow Lite model in Android and getting output.mp4 (62.46 MB)
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6 Testing fuel efficiency prediction android application.mp4 (18.48 MB)
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7 Fuel Efficiency Prediction Android App Overview.mp4 (35.82 MB)
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1 Section Introduction.mp4 (6.81 MB)
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2 Getting dataset for training house price prediction model.mp4 (39.57 MB)
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3 Loading dataset for training tflite model.mp4 (83.11 MB)
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4 Training & Evaluating house price prediction model.mp4 (78.16 MB)
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5 Retraining House Price Prediction Model.mp4 (46.88 MB)
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