Pickl AI

JULY 10, 2024

AI encompasses various technologies and applications, from simple algorithms to complex neural networks. On the other hand, ML focuses specifically on developing algorithms that allow machines to learn and make predictions or decisions based on data. Key Features: Challenging problem sets to build coding and algorithm skills.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

JULY 25, 2023

Collaborating with data scientists, to ensure optimal model performance in real-world applications. With expertise in Python, machine learning algorithms, and cloud platforms, machine learning engineers optimize models for efficiency, scalability, and maintenance. Most Data Scientists hold advanced degrees (Master’s or Ph.D.)

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 12, 2024

Jupyter notebooks are widely used in AI for prototyping, data visualisation, and collaborative work. Their interactive nature makes them suitable for experimenting with AI algorithms and analysing data. NLP tasks include machine translation, speech recognition, and sentiment analysis.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

ODSC - Open Data Science

OCTOBER 18, 2023

It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters. After that, there is additional exploratory data analysis to understand what differentiates each cluster from the others.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

Pickl AI

SEPTEMBER 12, 2024

Basic Data Science Terms Familiarity with key concepts also fosters confidence when presenting findings to stakeholders. Below is an alphabetical list of essential Data Science terms that every Data Analyst should know.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 5, 2024

Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling. Algorithm Development: Crafting algorithms to solve complex business problems and optimise processes. Data Visualization: Ability to create compelling visualisations to communicate insights effectively.

Azure 52

Azure Data Scientist Machine Learning Machine Learning 52

PyImageSearch

JANUARY 23, 2023

In this tutorial, you will learn the magic behind the critically acclaimed algorithm: XGBoost. But all of these algorithms, despite having a strong mathematical foundation, have some flaws or the other. Applying XGBoost to Our Dataset Next, we will do some exploratory data analysis and prepare the data for feeding the model.

Deep Learning 98

Deep Learning Deep Learning Algorithm Decision Trees 98

Pickl AI

JANUARY 12, 2023

This Data Science professional certificate program is industry-recognized and incorporates all the fundamentals of Data Science along with Machine Learning and its practical applications. The Udacity’s Data Science and Machine Learning course covers a wide range of topics in Data Science and Machine Learning.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

APRIL 10, 2023

With the growing proliferation and impact of data-driven decisions on different industries, having expertise in the Data Science domain will always have a positive impact. Student Go for Data Science Course? Yes, BSE students can opt for Data Science courses.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

PyImageSearch

DECEMBER 12, 2022

With the completion of AdaBoost, we are one more step closer to understanding the XGBoost algorithm. load the data in the form of a csv estData = pd.read_csv("/content/realtor-data.csv") # drop NaN values from the dataset estData = estData.dropna() # split the labels and remove non-numeric data y = estData["price"].values

Decision Trees 52

Decision Trees Deep Learning Deep Learning Exploratory Data Analysis 52

DrivenData Labs

DECEMBER 7, 2023

Amongst other ML competitions, I have been in a prize-winning position for NASA SOHO comet search, NOAA Precipitation Prediction (Rodeo 2), the Spacenet-8 flood detection, and 2019 IEEE GRSS data fusion contest. I enjoy participating in machine learning/data-science challenges and have been doing it for a while. race and sex).

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130