[Solved] Attributeerror: module tensorflow has no attribute contrib

Attributeerror-module-tensorflow-has-no-attribute-contrib-error

Sometimes while training the model in TensorFlow you get Attributeerror: module tensorflow has no attribute contrib error. Or not only in the training process but because of other reasons you get the same error. In this short article, we will learn how you can solve Attributeerror: module tensorflow has no attribute contrib error when using … Read more

[Solved] modulenotfounderror: no module named ‘matplotlib’

modulenotfounderror-no-module-named-matplotlib

Sometimes when you run a Python code that has maplotlib in it, it give modulenotfounderror: no module named ‘matplotlib’ error. This error is because either the module is not installed on your system or the version is not updated. In this short article, we will learn how we can solve modulenotfounderror: no module named ‘matplotlib’ … Read more

ARIMA model for non stationary time series in a simple way

ARIMA-model-for-non-stationary-time-Series

Did you wonder how can you apply the ARIMA model for non stationary time series? Although the ARIMA model is very efficient for the stationary time series, we can also use the ARIMA model for non stationary time series as well. A statistical model called ARIMA is applied to time series analysis. The ARMA model, … Read more

SyntaxError: unexpected character after line continuation character

SyntaxError: unexpected character after line continuation character

If you are new to Python programming language and are learning the basics, you might have come across SyntaxError a lot. SyntaxError: unexpected character after line continuation character is also a type of SyntaxError that occurs because of various reasons. In this short article, we will go through various reasons for getting this error and … Read more

[Solved] AttributeError: module ‘matplotlib.cbook’ has no attribute ‘iterable’

module-matplotlib.cbook-has-no-attribute-iterable

You get AttributeError: module ‘matplotlib.cbook’ has no attribute ‘iterable’ error, usually when you tried to import networkx module and try to plot graph. Sometimes the error can be very frustrating but believe me it is very simple and easy to solve it. In this short article, we will learn how we can solve module matplotlib.cbook … Read more

How To Use Isolation Forest to Detect Outliers in Machine Learning

isolation-forest-to-detect-outliers-in-machine-learning

Detecting anomalies or outliers in Machine learning means identifying the data points that do not meet the usual trend. There are various methods to detect and handle outliers in Machine Learning. Detecting and handling outliers in machine learning is very important as they can highly affect the training process of the model and as a … Read more

ARIMA and Facebook prophet to analyze stock market in Machine Learning

analyze-stock-market-using-machine-learning

Investors purchase and sell company shares on the stock market. Companies provide shares and other securities for trading on a series of exchanges. Additionally, it incorporates over-the-counter (OTC) markets where investors conduct direct securities transactions with one another (rather than through an exchange). So, It is always important to know how to analyze stock market … Read more

Top 12 ways for stock price predictions using machine learning

stock-price-predictions-using-machine-learning

Stock price prediction using machine learning is a difficult task, as the future course of a stock price is often influenced by a number of factors that are difficult to predict. In recent years, machine learning has become a popular tool for stock price prediction. Machine learning is a form of artificial intelligence that allows … Read more

Visualize outliers using Python in Machine Learning

handle-outliers-in-machine-learning

Today, we are going to discuss how we can detect, handle and visualize outliers using Python in Machine learning using various techniques. Outliers are simply the anomalies in our dataset that deviate from the trend or from other data points. The presence of outliers in the dataset can affect the prediction and training process of … Read more