Curated Video
Make Apps with ChatGPT and Generative AI - Python Access to OpenAI API
The next stage is to create a serverless ChatGPT API, which enables us to ping OpenAI API. We will build Azure functions that will ping the API, ask questions, and show the responses on the API. We will link out Python to the OpenAI API...
Curated Video
GCSE Chemistry - States of Matter & Changing State #21
This video explains 'particle theory' and uses it to describe the 3 states of matter: solid, liquid and gas. It also covers how substances move between these states at the particle level. This video is suitable for: - All exam boards -...
Curated Video
GCSE Chemistry - History of the Model of the Atom #7
This video covers: - Democritus - Atomic Theory - John Dalton - Solid spheres - JJ Thomson - Plumb Pudding model - Ernest Rutherford - Nuclear Model - Niels Bohr - Electron shells - James Chadwick - Neutrons General info: - Suitable for...
Curated Video
GCSE Physics - Development of the model of the atom #31
This video covers: - Democritus - Atomic Theory - John Dalton - Solid spheres - JJ Thompson - Plumb Pudding model - Ernest Rutherford - Nuclear Model - Niels Bohr - Electron shells - James Chadwick - Neutrons General info: - Suitable for...
Curated Video
What Links Dice and Tesseracts? | Machining the Platonic Solids
In this video, we machine the 3D platonic solids and explore these polyhedrons in higher dimensions. Hazel talks through the history of these fascinating shapes and reveals interesting facts along the way.
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - RVT Models
This video explains the RVT (Resampling, Visualize, and Transform) models in time series in Python. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - BiLSTM and Stacked BiLSTM
This video helps you with the execution of BiLSTM and Stacked BiLSTM on data. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - LSTM Implementation and Errors
This video explains the implementation of LSTM and its errors. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - BiLSTM for Time Series Forecasting
This video talks about BiLSTM for time series forecasting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - LSTM Parameter Change and Stacked LSTM
This video explains LSTM Parameter Change and Stacked LSTM. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - LSTM Implementation on Dataset
This video demonstrates LSTM implementation on the dataset. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Dataset Preparation and Scaling
This video helps you with dataset preparation and scaling from scratch. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Model Evaluation for Underfitting and Overfitting
This video demonstrates model evaluation for underfitting and overfitting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Model for Underfitting and Overfitting
This video demonstrates the model for underfitting and overfitting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Underfitting and Overfitting
This video explains the concepts of underfitting and overfitting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Important Parameters
This video talks about the important parameters in time series forecasting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Auto SARIMA in Python
This video helps you execute Auto SARIMA in Python. This clip is from the chapter "Machine Learning in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on machine...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - SARIMA in Python
This video helps you execute SARIMA in Python. This clip is from the chapter "Machine Learning in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on machine...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - ARIMA in Python
This video helps you with executing ARIMA in Python. This clip is from the chapter "Machine Learning in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on machine...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - ARIMA
This video explains ARIMA (Autoregressive Integrated Moving Average Model) and how it is a better model than ARMA. This clip is from the chapter "Machine Learning in Time Series Forecasting" of the series "A Practical Approach to...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Moving Average and ARMA
This video explains moving average and ARMA (Autoregressive Moving Average Model). This clip is from the chapter "Machine Learning in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Autoregression
This video focuses on autoregression. It is a subset of time series models, which can be used to predict future values based on previous observations. This clip is from the chapter "Machine Learning in Time Series Forecasting" of the...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Section Overview
This video provides an overview of the section. This clip is from the chapter "Machine Learning in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on machine...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - RNN Forecasting
This video explains recurrent neural networks (RNNs) for time series forecasts. This clip is from the chapter "Motivation and Overview of Time Series Analysis" of the series "A Practical Approach to Timeseries Forecasting Using...