ANNOUNCING PYCARET 1.0.0 - An amazingly simple, fast and efficient way to do machine learning in Python. NEW OPEN SOURCE ML LIBRARY If you are a DATA SCIENTIST or want to become one, then this is for YOU....
PyCaret is a NEW open source machine learning library to train and deploy ML models in low-code environment.
It allows you to go from preparing data to deploying a model within SECONDS.
PyCaret is designed to reduce time and efforts spent in coding ML experiments. It automates the following:
- Preprocessing (Data Preparation, Feature Engineering and Feature Selection) - Model Selection (over 60 ready-to-use algorithms) - Model Evaluation (50+ analysis plots) - Model Deployment - ML Integration and Monitoring (Power BI, Tableau, Alteryx, KNIME and more) - ..... and much more!
Watch this 1 minute video to see how PyCaret can help you in your next machine learning project.
The easiest way to install pycaret is using pip. Just type "pip install pycaret" into your notebook.
ANNOUNCING PYCARET 1.0.0 - An amazingly simple, fast and efficient way to do machine learning in Python. NEW OPEN SOURCE ML LIBRARY If you are a DATA SCIENTIST or want to become one, then this is for YOU....
PyCaret is a NEW open source machine learning library to train and deploy ML models in low-code environment.
It allows you to go from preparing data to deploying a model within SECONDS.
PyCaret is designed to reduce time and efforts spent in coding ML experiments. It automates the following:
- Preprocessing (Data Preparation, Feature Engineering and Feature Selection) - Model Selection (over 60 ready-to-use algorithms) - Model Evaluation (50+ analysis plots) - Model Deployment - ML Integration and Monitoring (Power BI, Tableau, Alteryx, KNIME and more) - ..... and much more!
Watch this 1 minute video to see how PyCaret can help you in your next machine learning project.
The easiest way to install pycaret is using pip. Just type "pip install pycaret" into your notebook.
The lead from Wall Street offers little clarity as the major averages opened lower on Friday and then bounced back and forth across the unchanged line, finally finishing mixed and little changed.The Dow added 33.18 points or 0.10 percent to finish at 34,798.00, while the NASDAQ eased 4.54 points or 0.03 percent to close at 15,047.70 and the S&P 500 rose 6.50 points or 0.15 percent to end at 4,455.48. For the week, the Dow rose 0.6 percent, the NASDAQ added 0.1 percent and the S&P gained 0.5 percent.The lackluster performance on Wall Street came on uncertainty about the outlook for the markets following recent volatility.
Pinterest (PINS) Stock Sinks As Market Gains
Pinterest (PINS) closed at $71.75 in the latest trading session, marking a -0.18% move from the prior day. This change lagged the S&P 500's daily gain of 0.1%. Meanwhile, the Dow gained 0.9%, and the Nasdaq, a tech-heavy index, lost 0.59%.
Heading into today, shares of the digital pinboard and shopping tool company had lost 17.41% over the past month, lagging the Computer and Technology sector's loss of 5.38% and the S&P 500's gain of 0.71% in that time.
Investors will be hoping for strength from PINS as it approaches its next earnings release. The company is expected to report EPS of $0.07, up 170% from the prior-year quarter. Our most recent consensus estimate is calling for quarterly revenue of $467.87 million, up 72.05% from the year-ago period.
