Pickl AI

JANUARY 29, 2024

ML focuses on enabling computers to learn from data and improve performance over time without explicit programming. Key Components In Data Science, key components include data cleaning, Exploratory Data Analysis, and model building using statistical techniques.

Data Science 52

Data Science ML ML Machine Learning 52

ODSC - Open Data Science

OCTOBER 18, 2023

The process begins with a careful observation of customer data and an assessment of whether there are naturally formed clusters in the data. 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

JULY 10, 2024

Course Content: Machine Learning and deep learning NLP and generative AI Reinforcement learning and computer vision Machine Learning Free Online Course by Pickl.AI Focus on exploratory Data Analysis and feature engineering. Ideal starting point for aspiring Data Scientists.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

PyImageSearch

JANUARY 23, 2023

Applying XGBoost to Our Dataset Next, we will do some exploratory data analysis and prepare the data for feeding the model. unique() # check the label distribution lblDist = sns.countplot(x='quality', data=wineDf) On Lines 33 and 34 , we read the csv file and then display the unique labels we are dealing with.

Deep Learning 96

Deep Learning Deep Learning Algorithm Decision Trees 96

Pickl AI

JULY 12, 2024

Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language. NLP tasks include machine translation, speech recognition, and sentiment analysis. Feature Engineering : Creating or transforming new features to enhance model performance.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 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

Pickl AI

SEPTEMBER 5, 2024

Recommended Educational Background Aspiring Azure Data Scientists typically benefit from a solid educational background in Data Science, computer science, mathematics, or engineering.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

JANUARY 12, 2023

Course Overview Statistics Data Science Python Apache Spark & Scala Tensorflow Tableau Course Eligibility To enroll for this Data Science course for working professionals, one needs to have a strong foundation in computer science, mathematics.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Anomaly Detection: Identifying unusual patterns or outliers in data that do not conform to expected behaviour. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

PyImageSearch

DECEMBER 12, 2022

. # 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 Or requires a degree in computer science? values X = estData.drop(["price"], axis=1).select_dtypes(exclude=['object'])

Decision Trees 52

Decision Trees Deep Learning Deep Learning Exploratory Data Analysis 52

DrivenData Labs

DECEMBER 7, 2023

jimking100 ¶ Bonus prize : Best visualization Prize earned : $2,500 Team members : Jim King Usernames : jimking100 Hometown : Mill Valley, CA Background : I’m a successful real estate agent who happens to like data science. My Computer Science degree, MBA in Finance and 20 years in the tech field also help.

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130

AWS Machine Learning Blog

SEPTEMBER 12, 2023

Email classification project diagram The workflow consists of the following components: Model experimentation – Data scientists use Amazon SageMaker Studio to carry out the first steps in the data science lifecycle: exploratory data analysis (EDA), data cleaning and preparation, and building prototype models.

Data Science 125

Data Science Data Scientist AWS ML 125