| 1. Bias Variance Trade-Off.mp4 | 12.9 MB | ||
| 1. Bias Variance Trade-Off.srt | 9.7 KB | ||
| 1. Bonus Lecture.html | 512 B | ||
| 1. Introduction to Geographical Plotting.mp4 | 2.2 MB | ||
| 1. Introduction to Geographical Plotting.srt | 1.4 KB | ||
| 1. Introduction to Plotly and Cufflinks.mp4 | 15.6 MB | ||
| 1. Introduction to Plotly and Cufflinks.srt | 5.5 KB | ||
| 1. Introduction to Seaborn.mp4 | 11.6 MB | ||
| 1. Introduction to Seaborn.srt | 4.5 KB | ||
| 1. Introduction to Tree Methods.mp4 | 13.5 MB | ||
| 1. Introduction to Tree Methods.srt | 9.9 KB | ||
| 1. Introduction to the Course.mp4 | 43 MB | ||
| 1. Introduction to the Course.srt | 5.9 KB | ||
| 1. K Means Algorithm Theory.mp4 | 11 MB | ||
| 1. K Means Algorithm Theory.srt | 7.5 KB | ||
| 1. KNN Theory.mp4 | 11.2 MB | ||
| 1. KNN Theory.srt | 8 KB | ||
| 1. Linear Regression Theory.mp4 | 9.9 MB | ||
| 1. Linear Regression Theory.srt | 6.7 KB | ||
| 1. Logistic Regression Theory.mp4 | 23.5 MB | ||
| 1. Logistic Regression Theory.srt | 17.3 KB | ||
| 1. Natural Language Processing Theory.mp4 | 9.8 MB | ||
| 1. Natural Language Processing Theory.srt | 7 KB | ||
| 1. Note on SF Salary Exercise.html | 512 B | ||
| 1. Pandas Built-in Data Visualization.mp4 | 36.9 MB | ||
| 1. Pandas Built-in Data Visualization.srt | 20.8 KB | ||
| 1. Principal Component Analysis.mp4 | 7.1 MB | ||
| 1. Principal Component Analysis.srt | 4.9 KB | ||
| 1. Python Environment Setup.mp4 | 76.3 MB | ||
| 1. Python Environment Setup.srt | 20 KB | ||
| 1. Recommender Systems.mp4 | 9.1 MB | ||
| 1. Recommender Systems.srt | 6.7 KB | ||
| 1. SVM Theory.mp4 | 9.9 MB | ||
| 1. SVM Theory.srt | 6.6 KB | ||
| 1. TensorFlow Installation.mp4 | 91.9 MB | ||
| 1. TensorFlow Installation.srt | 38.7 KB | ||
| 1. Updates to Notebook Zip.html | 204.8 B | ||
| 1. Welcome to the Big Data Section!.mp4 | 14.2 MB | ||
| 1. Welcome to the Big Data Section!.srt | 716.8 B | ||
| 1. Welcome to the Data Capstone Projects!.mp4 | 11 MB | ||
| 1. Welcome to the Data Capstone Projects!.srt | 614.4 B | ||
| 1. Welcome to the Data Visualization Section!.mp4 | 14.3 MB | ||
| 1. Welcome to the Data Visualization Section!.srt | 716.8 B | ||
| 1. Welcome to the Deep Learning Section!.mp4 | 13.4 MB | ||
| 1. Welcome to the Deep Learning Section!.srt | 716.8 B | ||
| 1. Welcome to the Machine Learning Section!.mp4 | 19.5 MB | ||
| 1. Welcome to the Machine Learning Section!.srt | 1 KB | ||
| 1. Welcome to the NumPy Section!.mp4 | 15.4 MB | ||
| 1. Welcome to the NumPy Section!.srt | 307.2 B | ||
| 1. Welcome to the Pandas Section!.mp4 | 9.1 MB | ||
| 1. Welcome to the Pandas Section!.srt | 512 B | ||
| 1. Welcome to the Python Crash Course Section!.mp4 | 10.7 MB | ||
| 1. Welcome to the Python Crash Course Section!.srt | 512 B | ||
| 1.1 Link to Seaborn Documentation (updated).html | 102.4 B | ||
| 1.1 Py-DS-ML-Bootcamp-master.zip.zip | 52.5 MB | ||
| 10. Deep Learning Project - Solutions.mp4 | 94.6 MB | ||
| 10. Deep Learning Project - Solutions.srt | 15 KB | ||
| 10. Lambda Expressions Review.mp4 | 10.3 MB | ||
| 10. Lambda Expressions Review.srt | 7.9 KB | ||
| 10. Operations.mp4 | 27.4 MB | ||
| 10. Operations.srt | 17.8 KB | ||
| 11. Data Input and Output.mp4 | 44.5 MB | ||
| 11. Data Input and Output.srt | 44.5 MB | ||
| 11. Introduction to Spark and Python.mp4 | 18.1 MB | ||
| 11. Introduction to Spark and Python.srt | 12.1 KB | ||
| 12. RDD Transformations and Actions.mp4 | 70.8 MB | ||
| 12. RDD Transformations and Actions.srt | 32.3 KB | ||
| 2. 911 Calls Project Overview.mp4 | 11.4 MB | ||
| 2. 911 Calls Project Overview.srt | 3.6 KB | ||
| 2. Big Data Overview.mp4 | 11.3 MB | ||
| 2. Big Data Overview.srt | 7.8 KB | ||
| 2. Choropleth Maps - Part 1 - USA.mp4 | 55 MB | ||
| 2. Choropleth Maps - Part 1 - USA.srt | 26.3 KB | ||
| 2. Course Help and Welcome.mp4 | 22.1 MB | ||
| 2. Course Help and Welcome.srt | 1.1 KB | ||
| 2. Decision Trees and Random Forest with Python.mp4 | 49.1 MB | ||
| 2. Decision Trees and Random Forest with Python.srt | 49.1 MB | ||
| 2. Distribution Plots.mp4 | 61.7 MB | ||
| 2. Distribution Plots.srt | 28.5 KB | ||
| 2. Introduction to Matplotlib.mp4 | 16.3 MB | ||
| 2. Introduction to Matplotlib.srt | 5.2 KB | ||
| 2. Introduction to Numpy.mp4 | 4.7 MB | ||
| 2. Introduction to Numpy.srt | 3.3 KB | ||
| 2. Introduction to Pandas.mp4 | 3.5 MB | ||
| 2. Introduction to Pandas.srt | 2.6 KB | ||
| 2. Introduction to Python Crash Course.mp4 | 3 MB | ||
| 2. Introduction to Python Crash Course.srt | 2.3 KB | ||
| 2. Jupyter Notebooks.mp4 | 37.8 MB | ||
| 2. Jupyter Notebooks.srt | 22.7 KB | ||
| 2. K Means with Python.mp4 | 34.6 MB | ||
| 2. K Means with Python.srt | 17.4 KB | ||
| 2. KNN with Python.mp4 | 54.7 MB | ||
| 2. KNN with Python.srt | 26.7 KB | ||
| 2. Link for ISLR.html | 409.6 B | ||
| 2. Logistic Regression with Python - Part 1.mp4 | 49 MB | ||
| 2. Logistic Regression with Python - Part 1.srt | 26.2 KB | ||
| 2. MNIST with Multi-Layer Perceptron - Part 1.mp4 | 25.2 MB | ||
| 2. MNIST with Multi-Layer Perceptron - Part 1.srt | 17.5 KB | ||
| 2. NLP with Python - Part 1.mp4 | 47.4 MB | ||
| 2. NLP with Python - Part 1.srt | 22.1 KB | ||
| 2. Neural Network Theory.mp4 | 14.5 MB | ||
| 2. Neural Network Theory.srt | 10 KB | ||
| 2. PCA with Python.mp4 | 49.8 MB | ||
| 2. PCA with Python.srt | 23.5 KB | ||
| 2. Pandas Data Visualization Exercise.mp4 | 6.5 MB | ||
| 2. Pandas Data Visualization Exercise.srt | 2.3 KB | ||
| 2. Plotly and Cufflinks.mp4 | 62.6 MB | ||
| 2. Plotly and Cufflinks.srt | 27.7 KB | ||
| 2. Recommender Systems with Python - Part 1.mp4 | 43.4 MB | ||
| 2. Recommender Systems with Python - Part 1.srt | 19.4 KB | ||
| 2. SF Salaries Exercise Overview.mp4 | 8.3 MB | ||
| 2. SF Salaries Exercise Overview.srt | 3.4 KB | ||
| 2. Support Vector Machines with Python.mp4 | 56.1 MB | ||
| 2. Support Vector Machines with Python.srt | 24.8 KB | ||
| 2. model_selection Updates for SciKit Learn 0.18.html | 819.2 B | ||
| 2.1 Py-DS-ML-Bootcamp-master.zip.zip | 52.5 MB | ||
| 2.1 Python DS Presentations.zip.zip | 2.8 MB | ||
| 2.2 ISLR 6th Edition PDF (Machine Learning Textbook).html | 102.4 B | ||
| 3. 911 Calls Solutions - Part 1.mp4 | 49.2 MB | ||
| 3. 911 Calls Solutions - Part 1.srt | 20.9 KB | ||
| 3. Categorical Plots.mp4 | 44.4 MB | ||
| 3. Categorical Plots.srt | 26 KB | ||
| 3. Choropleth Maps - Part 2 - World.mp4 | 24.4 MB | ||
| 3. Choropleth Maps - Part 2 - World.srt | 8.9 KB | ||
| 3. Course FAQs.html | 5.3 KB | ||
| 3. Decision Trees and Random Forest Project Overview.mp4 | 15.4 MB | ||
| 3. Decision Trees and Random Forest Project Overview.srt | 5 KB | ||
| 3. Introduction to Machine Learning.mp4 | 37.6 MB | ||
| 3. Introduction to Machine Learning.srt | 17.1 KB | ||
| 3. K Means Project Overview.mp4 | 11.6 MB | ||
| 3. K Means Project Overview.srt | 4.8 KB | ||
| 3. KNN Project Overview.mp4 | 7.1 MB | ||
| 3. KNN Project Overview.srt | 2.2 KB | ||
| 3. Linear Regression with Python - Part 1.mp4 | 52.3 MB | ||
| 3. Linear Regression with Python - Part 1.srt | 26.1 KB | ||
| 3. Logistic Regression with Python - Part 2.mp4 | 38.8 MB | ||
| 3. Logistic Regression with Python - Part 2.srt | 38.8 MB | ||
| 3. MNIST with Multi-Layer Perceptron - Part 2.mp4 | 45.2 MB | ||
| 3. MNIST with Multi-Layer Perceptron - Part 2.srt | 22.7 KB | ||
| 3. Matplotlib Part 1.mp4 | 41.6 MB | ||
| 3. Matplotlib Part 1.srt | 25.1 KB | ||
| 3. NLP with Python - Part 2.mp4 | 49.1 MB | ||
| 3. NLP with Python - Part 2.srt | 49.1 MB | ||
| 3. Numpy Arrays.mp4 | 38.1 MB | ||
| 3. Numpy Arrays.srt | 72.6 MB | ||
| 3. Optional Virtual Environments.mp4 | 21.8 MB | ||
| 3. Optional Virtual Environments.srt | 15.4 KB | ||
| 3. Pandas Data Visualization Exercise- Solutions.mp4 | 35.9 MB | ||
| 3. Pandas Data Visualization Exercise- Solutions.srt | 13.3 KB | ||
| 3. Python Crash Course - Part 1.mp4 | 40.2 MB | ||
| 3. Python Crash Course - Part 1.srt | 27.3 KB | ||
| 3. Recommender Systems with Python - Part 2.mp4 | 39.4 MB | ||
| 3. Recommender Systems with Python - Part 2.srt | 17.1 KB | ||
| 3. SF Salaries Solutions.mp4 | 51.8 MB | ||
| 3. SF Salaries Solutions.srt | 20.7 KB | ||
| 3. SVM Project Overview.mp4 | 11.2 MB | ||
| 3. SVM Project Overview.srt | 3.8 KB | ||
| 3. Series.mp4 | 22.7 MB | ||
| 3. Series.srt | 15.5 KB | ||
| 3. Spark Overview.mp4 | 17.5 MB | ||
| 3. Spark Overview.srt | 13.6 KB | ||
| 3. What is TensorFlow.mp4 | 32.8 MB | ||
| 3. What is TensorFlow.srt | 8.8 KB | ||
| 3.1 Link for ISLR.html | 102.4 B | ||
| 3.1 Py_DS_ML_Bootcamp-master.zip.zip | 52.5 MB | ||
| 3.1 Updated Link to Manage Environments with Conda.html | 102.4 B | ||
| 4. 911 Calls Solutions - Part 2.mp4 | 58.8 MB | ||
| 4. 911 Calls Solutions - Part 2.srt | 26.5 KB | ||
| 4. Choropleth Exercises.mp4 | 12.9 MB | ||
| 4. Choropleth Exercises.srt | 5.7 KB | ||
| 4. DataFrames - Part 1.mp4 | 45.6 MB | ||
| 4. DataFrames - Part 1.srt | 21.3 KB | ||
| 4. Decision Trees and Random Forest Solutions Part 1.mp4 | 36.7 MB | ||
| 4. Decision Trees and Random Forest Solutions Part 1.srt | 200.2 MB | ||
| 4. Ecommerce Purchases Exercise Overview.mp4 | 8.8 MB | ||
| 4. Ecommerce Purchases Exercise Overview.srt | 3.8 KB | ||
| 4. Installing Tensorflow 1.10.mp4 | 7.3 MB | ||
| 4. Installing Tensorflow 1.10.srt | 3 KB | ||
| 4. K Means Project Solutions.mp4 | 56.7 MB | ||
| 4. K Means Project Solutions.srt | 22.7 KB | ||
| 4. KNN Project Solutions.mp4 | 70.9 MB | ||
| 4. KNN Project Solutions.srt | 19.2 KB | ||
| 4. Linear Regression with Python - Part 2.mp4 | 19.3 MB | ||
| 4. Linear Regression with Python - Part 2.srt | 10.1 KB | ||
| 4. Local Spark Set-Up.html | 1.6 KB | ||
| 4. Logistic Regression with Python - Part 3.mp4 | 20 MB | ||
| 4. Logistic Regression with Python - Part 3.srt | 11.8 KB | ||
| 4. MNIST with Multi-Layer Perceptron - Part 3.mp4 | 56.7 MB | ||
| 4. MNIST with Multi-Layer Perceptron - Part 3.srt | 91.2 MB | ||
| 4. Machine Learning with Python.mp4 | 18.8 MB | ||
| 4. Machine Learning with Python.srt | 14.2 KB | ||
| 4. Matplotlib Part 2.mp4 | 35.5 MB | ||
| 4. Matplotlib Part 2.srt | 21.5 KB | ||
| 4. Matrix Plots.mp4 | 25.4 MB | ||
| 4. Matrix Plots.srt | 14.5 KB | ||
| 4. NLP with Python - Part 3.mp4 | 43.5 MB | ||
| 4. NLP with Python - Part 3.srt | 23.9 KB | ||
| 4. Python Crash Course - Part 2.mp4 | 32.2 MB | ||
| 4. Python Crash Course - Part 2.srt | 22.5 KB | ||
| 4. Quick Note on Array Indexing.html | 1 KB | ||
| 4. SVM Project Solutions.mp4 | 33.6 MB | ||
| 4. SVM Project Solutions.srt | 13.2 KB | ||
| 5. AWS Account Set-Up.mp4 | 13.1 MB | ||
| 5. AWS Account Set-Up.srt | 6.8 KB | ||
| 5. Bank Data.html | 409.6 B | ||
| 5. Choropleth Exercises - Solutions.mp4 | 33.5 MB | ||
| 5. Choropleth Exercises - Solutions.srt | 13.9 KB | ||
| 5. DataFrames - Part 2.mp4 | 49.9 MB | ||
| 5. DataFrames - Part 2.srt | 25 KB | ||
| 5. Decision Trees and Random Forest Solutions Part 2.mp4 | 32.3 MB | ||
| 5. Decision Trees and Random Forest Solutions Part 2.srt | 12.1 KB | ||
| 5. Ecommerce Purchases Exercise Solutions.mp4 | 52 MB | ||
| 5. Ecommerce Purchases Exercise Solutions.srt | 21.3 KB | ||
| 5. Grids.mp4 | 24 MB | ||
| 5. Grids.srt | 12.7 KB | ||
| 5. Linear Regression Project Overview.mp4 | 14.2 MB | ||
| 5. Linear Regression Project Overview.srt | 4 KB | ||
| 5. Logistic Regression Project Overview.mp4 | 6.7 MB | ||
| 5. Logistic Regression Project Overview.srt | 2.6 KB | ||
| 5. Matplotlib Part 3.mp4 | 31.9 MB | ||
| 5. Matplotlib Part 3.srt | 17.7 KB | ||
| 5. NLP Project Overview.mp4 | 8.4 MB | ||
| 5. NLP Project Overview.srt | 3.6 KB | ||
| 5. Numpy Array Indexing.mp4 | 42.3 MB | ||
| 5. Numpy Array Indexing.srt | 25.1 KB | ||
| 5. Python Crash Course - Part 3.mp4 | 35.8 MB | ||
| 5. Python Crash Course - Part 3.srt | 23.2 KB | ||
| 5. TensorFlow Basics.mp4 | 36.6 MB | ||
| 5. TensorFlow Basics.srt | 21.4 KB | ||
| 5. TensorFlow with ContribLearn.mp4 | 23.8 MB | ||
| 5. TensorFlow with ContribLearn.srt | 12.9 KB | ||
| 5.1 Amazon Guide to Creating an AWS Account.html | 102.4 B | ||
| 5.1 Download all_banks pickle file from this link.html | 102.4 B | ||
| 6. DataFrames - Part 3.mp4 | 24.3 MB | ||
| 6. DataFrames - Part 3.srt | 12.5 KB | ||
| 6. Finance Data Project Overview.mp4 | 16.4 MB | ||
| 6. Finance Data Project Overview.srt | 5.4 KB | ||
| 6. Linear Regression Project Solution.mp4 | 56.5 MB | ||
| 6. Linear Regression Project Solution.srt | 26.1 KB | ||
| 6. Logistic Regression Project Solutions.mp4 | 36.7 MB | ||
| 6. Logistic Regression Project Solutions.srt | 14.7 KB | ||
| 6. MNIST - Part One.mp4 | 58.4 MB | ||
| 6. MNIST - Part One.srt | 68.4 MB | ||
| 6. Matplotlib Exercises Overview.mp4 | 7.7 MB | ||
| 6. Matplotlib Exercises Overview.srt | 2.6 KB | ||
| 6. NLP Project Solutions.mp4 | 57.7 MB | ||
| 6. NLP Project Solutions.srt | 57.7 MB | ||
| 6. Numpy Operations.mp4 | 30.1 MB | ||
| 6. Numpy Operations.srt | 10.9 KB | ||
| 6. Python Crash Course - Part 4.mp4 | 32.5 MB | ||
| 6. Python Crash Course - Part 4.srt | 21.3 KB | ||
| 6. Quick Note on AWS Security.html | 409.6 B | ||
| 6. Regression Plots.mp4 | 18 MB | ||
| 6. Regression Plots.srt | 10.3 KB | ||
| 6. Tensorflow Project Exercise Overview.mp4 | 40.6 MB | ||
| 6. Tensorflow Project Exercise Overview.srt | 3.9 KB | ||
| 7. EC2 Instance Set-Up.mp4 | 86.5 MB | ||
| 7. EC2 Instance Set-Up.srt | 25.7 KB | ||
| 7. Finance Project - Solutions Part 1.mp4 | 60.5 MB | ||
| 7. Finance Project - Solutions Part 1.srt | 24.3 KB | ||
| 7. MNIST - Part Two.mp4 | 94.1 MB | ||
| 7. MNIST - Part Two.srt | 22 KB | ||
| 7. Matplotlib Exercises - Solutions.mp4 | 32.8 MB | ||
| 7. Matplotlib Exercises - Solutions.srt | 12.9 KB | ||
| 7. Missing Data.mp4 | 13.7 MB | ||
| 7. Missing Data.srt | 8.7 KB | ||
| 7. Numpy Exercises Overview.mp4 | 12.2 MB | ||
| 7. Numpy Exercises Overview.srt | 4.8 KB | ||
| 7. Python Crash Course Exercises - Overview.mp4 | 12.2 MB | ||
| 7. Python Crash Course Exercises - Overview.srt | 5.9 KB | ||
| 7. Style and Color.mp4 | 22.7 MB | ||
| 7. Style and Color.srt | 12.2 KB | ||
| 7. Tensorflow Project Exercise - Solutions.mp4 | 52.7 MB | ||
| 7. Tensorflow Project Exercise - Solutions.srt | 20.3 KB | ||
| 7.1 Amazon Guide to Using PuTTY for Windows SSH.html | 102.4 B | ||
| 8. Finance Project - Solutions Part 2.mp4 | 55.8 MB | ||
| 8. Finance Project - Solutions Part 2.srt | 25.2 KB | ||
| 8. Groupby.mp4 | 16.7 MB | ||
| 8. Groupby.srt | 10 KB | ||
| 8. Numpy Exercises Solutions.mp4 | 46.2 MB | ||
| 8. Numpy Exercises Solutions.srt | 23.8 KB | ||
| 8. Python Crash Course Exercises - Solutions.mp4 | 34.4 MB | ||
| 8. Python Crash Course Exercises - Solutions.srt | 16.4 KB | ||
| 8. SSH with Mac or Linux.mp4 | 10.9 MB | ||
| 8. SSH with Mac or Linux.srt | 7.9 KB | ||
| 8. Seaborn Exercise Overview.mp4 | 8.3 MB | ||
| 8. Seaborn Exercise Overview.srt | 8.3 MB | ||
| 8. Tensorflow Estimators.mp4 | 156.6 MB | ||
| 8. Tensorflow Estimators.srt | 30.4 KB | ||
| 8.1 Amazon Guide to SSH with Mac.html | 102.4 B | ||
| 9. Deep Learning Project.mp4 | 28.2 MB | ||
| 9. Deep Learning Project.srt | 5 KB | ||
| 9. Finance Project - Solutions Part 3.mp4 | 19.9 MB | ||
| 9. Finance Project - Solutions Part 3.srt | 8.9 KB | ||
| 9. Merging Joining and Concatenating.mp4 | 30.4 MB | ||
| 9. Merging Joining and Concatenating.srt | 13.6 KB | ||
| 9. PySpark Setup.mp4 | 70.6 MB | ||
| 9. PySpark Setup.srt | 17.4 KB | ||
| 9. Seaborn Exercise Solutions.mp4 | 24.2 MB | ||
| 9. Seaborn Exercise Solutions.srt | 10.2 KB | ||
| 9.1 Step by Step Guide for PySpark Set-up.html | 204.8 B | ||
| ▲ 301 total files | |||
Python for Data Science and Machine Learning Bootcamp
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