Can we build a neural network that can tell the difference between Stephen Colbert and Conan O'Brien? Yes, yes we can!
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Updated
Mar 4, 2020 - Jupyter Notebook
Can we build a neural network that can tell the difference between Stephen Colbert and Conan O'Brien? Yes, yes we can!
In this notebook I have tried to use all the classification algorithms that I have learned in Machine Learning with Python course authorized by IBM.
Predict home value using IBM Watson machine learning and Db2 database.
This composite pattern demonstrates a solution to a problem of Software Development domain using a combination of other individual code patterns.
Watson Studio Hands-On using features of data wrangling, AutoML, and Jupyter Notebooks.
Get started with various Watson API's in Python using Jupyter Notebook in IBM Watson Studio
Loading, accessing and visualizing data from Netezza Performance server
This repository contains my practice of Introduction to Computer Vision and Image Processing lab notebooks.
A collection of my (Jupyter/IPython) notebooks
jupyter notebook for Python Strings
Predict home value using IBM Watson machine learning and Db2 database.
Some small data science tutorials
jupyter notebook for python lists
jupyter notebook for python tuples
Welcome to the Mobile Price Predictor repository! This application is built using Jupyter Notebooks, Streamlit for the frontend, and IBM Watson for deploying the machine learning model.
With this Python notebook algorithm, you can use SPSS Model notebook to build machine learning pipelines that you can use to iterate rapidly during the model building process in data analysis. Whether you're trying to find the right algorithm or experimenting with different ways of preparing your data, you can create reproducible research that's…
Peer-Graded Assignment: Capstone Project Notebook | Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.
In this notebook, we will create to convert an audio file of an English speaker to text using a Speech to Text API using IBM-Watson. Then we will translate the English version to a Spanish version using a Language Translator API.
In this notebook, I used scikit-learn to predict churn risk. Scikit-learn provides implementations of many classification algorithms. In here, I have done a comparative study of 5 different classification algorithms. To help visualize what I am doing, I used 2D and 3D charts to show how the classes look (with 3 selected dimensions) with matplotl…
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