Merge pull request #4 from databricks-industry-solutions/typos

typos
databricks-industry-solutions · Mar 1, 2023 · 679f942 · 679f942
2 parents b060ede + 03bd259
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diff --git a/02_var_model.py b/02_var_model.py
@@ -90,7 +90,7 @@ def get_stock_returns():
 # COMMAND ----------
 
 # MAGIC %md
-# MAGIC We join our market indicator data with stock returns to build an input dataset we can machine learn. We'll use [`tempo`](https://databrickslabs.github.io/tempo/) for this AS-OF join since our timestamps may be differents in real life, with intra day tick data.
+# MAGIC We join our market indicator data with stock returns to build an input dataset we can machine learn. We'll use [`tempo`](https://databrickslabs.github.io/tempo/) for this AS-OF join since our timestamps may be different in real life, with intra day tick data.
 
 # COMMAND ----------
 

diff --git a/03_var_monte_carlo.py b/03_var_monte_carlo.py
@@ -47,7 +47,7 @@
 
 # MAGIC %md
 # MAGIC ## Distribute trials
-# MAGIC By fixing a seed strategy, we ensure that each trial will be independant (no random number will be the same) as well as enforcing full reproducibility should we need to process the same experiment twice
+# MAGIC By fixing a seed strategy, we ensure that each trial will be independent (no random number will be the same) as well as enforcing full reproducibility should we need to process the same experiment twice
 
 # COMMAND ----------
 
@@ -115,7 +115,7 @@
 # COMMAND ----------
 
 # MAGIC %md
-# MAGIC Although we processed our simulated market conditions as a large table made of very few columns, we may want to create a better data asset by wraping all trials into well defined vectors. This asset will help us manipulate vectors through simple aggregated functions using the `Summarizer` class from `pyspark.ml.stat` (see next notebook)
+# MAGIC Although we processed our simulated market conditions as a large table made of very few columns, we may want to create a better data asset by wrapping all trials into well defined vectors. This asset will help us manipulate vectors through simple aggregated functions using the `Summarizer` class from `pyspark.ml.stat` (see next notebook)
 
 # COMMAND ----------
 

diff --git a/LICENSE.md b/LICENSE.md
@@ -5,7 +5,7 @@ to an Agreement (defined below) between Licensee (defined below) and Databricks,
 Software shall be deemed part of the Downloadable Services under the Agreement, or if the Agreement does not define Downloadable Services,
 Subscription Services, or if neither are defined then the term in such Agreement that refers to the applicable Databricks Platform
 Services (as defined below) shall be substituted herein for “Downloadable Services.”  Licensee's use of the Software must comply at
-all times with any restrictions applicable to the Downlodable Services and Subscription Services, generally, and must be used in
+all times with any restrictions applicable to the Downloadable Services and Subscription Services, generally, and must be used in
 accordance with any applicable documentation. For the avoidance of doubt, the Software constitutes Databricks Confidential Information
 under the Agreement.