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WorksheetsFinTech 10-1 Time Series
Total questions: 10
Worksheet time: 5mins
What were the objectives of Time Series Day 1?
Manipulate time series data sets in pandas
Perform auto-correlation on time series data
Identify the components of a time series
Time series analysis in Scikit-learn
Analyze long term trends with different averages and filters
Which are applications of machine learning?
Determining loan eligibility
Fraud and money laundering
Designing a cryptocurrency
Customer segmentation and clustering
Disease diagnosis and prognosis
Which are Python libraries that can be used for machine learning?
Scikit-Learn
TensorFlow
NumPy
SciPy
Pandas
Which are types of machine learning?
Supervised learning
Unsupervised learning
Independent learning
Reinforcement learning
Which are type of machine learning is regression?
Supervised learning
Unsupervised learning
Independent learning
Reinforcement learning
Which are type of machine learning is clustering?
Supervised learning
Unsupervised learning
Independent learning
Reinforcement learning
Which steps should you take to prepare a time series dataframe?
Read in the csv using pandas
Format the x-axis as dates
Set the index to the datetime column
Set parse_dates = True
Analogy - groupby : typical dataframes :: ______ : time series dataframes
groupby()
mean()
resample()
set_index()
How was Time Series Day 1 for you?
Any suggestions for improvement?
