Machine Learning

Kaufe eine Ziege. Das Kalahari-Ziegenfleisch ist eine Ziegensorte, die Mitte des 20. Jahrhunderts in Südafrika für die Fleischherstellung hergestellt wurde. Der Name leitet sich vom afrikaansischen (niederländischen) Wort „kalahari“ ab, was Rancher bedeutet. Kalahari-Ziegenfleisch ist eine gängige Fleischrasse und ihre Fortpflanzungszeit beginnt im August und dauert bis … [Read more...] about ( E-MAIL: CASTROFARMS914@GMAIL.COM) Kaufen Sie eine Ziege

Photo by Jennifer Latuperisa-Andresen on UnsplashAlso, a lesson in Altair python visualisationsThis is an ancient technique. It’s called a power stance. You own the universe, so raise your goblet of rock; it’s a toast to those who rock. Now smile and nod your head and let me see your eyeballs wide like there’s something wrong.Does it sound familiar to you?In an external hard … [Read more...] about How often you bang your head depends on how close you are to the north pole

In the past years, Python has proven itself an easy to learn, versatile, and potent programming language. It became one of the top choices to learn if you’re new to the programming world or if you’re interested in scientific programming, data science, or general computer science.Due to this increase in popularity, developers and companies utilized Python in their daily work … [Read more...] about 6 Approaches to Speed Up Your Python Code

Module 1 : Into to the ProblemIn Module 1, we are going to get familier with pandas, the python module which we use to process and analyze data. Processing could include removing unknown values from the data or replacing unknown values with the values which make sense, maybe 0. Analyzing the data could include finding out the trend of the stock price, e.g. how the stock prices … [Read more...] about Hindustan Unilever Dataset 1

Machine Learning adoption is widespread across all industries. Its ability to perform specific tasks better than humans creates tremendous opportunity to improve economic productivity. The global machine learning market is projected to attain a Compounding Annual Growth Rate (CAGR) of 43% between 2020 and 2024, growing from $7.3b to $30.6b. As practitioners of ML applications, … [Read more...] about Challenges in Machine Learning Applications

To preprocess your text simply means to bring your text into a form that is predictable and analyzable for your task. A task here is a combination of approach and domain. For example, extracting top keywords with TF-IDF (approach) from Tweets (domain) is an example of a Task and Pre-Processing is one of the 6 steps of CRISP-DM (cross-industry process for data mining) … [Read more...] about Introduction to NLP — Package Creation for Pre Processing

Pose estimation is a technique that uses computer vision and machine learning models to determine the pose of a person. It predicts where key body points are by processing images fed through a neural network. The model used in this example, PoseNet, estimates 17 different body part points!Pose Estimation is often applied in domains such as animation, augmented reality (AR), and … [Read more...] about Pose Estimation on The Raspberry Pi 4

Logistic Regression is an algorithm that predicts the probability an observation belongs to one of two classes. If the observation being predicted is an event, the binary dependent variable is encoded as as a 1 if the event is likely to occur, or as a 0 if it is not likely.In this example, I implement a 5-step logistic regression to predict whether a reservation is likely to be … [Read more...] about 5 Step Implementation of Logistic Regression to Predict Venue Cancellations

Hi, Medium! It has been awhile. While I intended to begin publishing my personal data science projects last year, a certain virus complicated things…My progress into data science hasn’t been as linear as I had hoped since, but life (especially in these times) isn’t always a linear progression!Nonetheless, I am here now and looking forward to learning with you (bear with me, I … [Read more...] about Using Machine Learning to Predict NBA Team Wins

Building a nonlinear classifier using SVMsAn SVM provides a variety of options to build a nonlinear classifier. We need to build a nonlinear classifier using various kernels.When we want to represent a curvy boundary between two sets of points, we can either do this using a polynomial function or a radial basis function.Dataset: download the file ‘data_multivar’ from … [Read more...] about Predictive Modeling — Part 2